Llama-3.2-3B-Instruct-Frog - a RAG-optimized LLaMA3.2 for Vietnamese

Quantized Version: phamhai/Llama-3.2-3B-Instruct-Frog-Q4_K_M-GGUF

At the end of September 2024, Meta released two lightweight LLM model versions: Llama-3.2-1B-Instruct and Llama-3.2-3B-Instruct. However, these models are not well-supported for Vietnamese, especially for tasks related to Retrieval-Augmented Generation (RAG).

Today, I am excited to announce the release of two models specifically trained to provide better support for Vietnamese RAG tasks.

Model Details:

  • Base Models: Llama-3.2-1B-Instruct and Llama-3.2-3B-Instruct
  • Performance: The models are optimized for fast inference and can be easily deployed on on-premise and edge devices (laptop/smartphone/NVIDIA Jetson Xavier/Raspberry Pi,ect).
  • Model weights:

Terms of Use and License: By using our released weights, you agree to and comply with the terms and conditions specified in Meta's LLaMA-3 license.

Model Evaluation

We evaluated this model on the VLMU benchmark and achieved an accuracy of 45.13. However, this benchmark is not the focus of our current efforts. We believe it will be very difficult for language models with fewer than 13 billion parameters to retain enough knowledge to answer questions across diverse user contexts, especially for smaller models with under 3 billion parameters. For the model to effectively handle real-world business scenarios and avoid hallucinations, it is almost essential to supplement knowledge from external sources (through RAG). Therefore, we developed this model with a primary focus on optimizing its RAG capabilities. Internal testing is currently underway and will be updated soon.

Update:

Function Calling Benchmark: https://huggingface.co/datasets/phamhai/Vietnamese-Function-Calling-Test

Model Model size Function name Acc (%) Exact Match Acc (%)
phamhai/Llama-3.2-3B-Instruct-Frog ~3B 95.79 51.05
Gemini-1.5-Pro --- 96.96 55.16
Gemini-1.5-Flash --- 97.10 51.64
Gemini-1.5-Flash-8B --- 97.38 64.75
Gemini 2.0 Flash Experimental --- 96.93 61.26
gpt-4o-2024-08-06 --- 94.38 52.88
phamhai/Llama-3.2-3B-Instruct-Frog-Pro ~3B 97.96 63.47

Table 1. Vietnamese Function Calling Benchmark

Run the model

(Disclaimer: The name of the bot is called Vivi, which is due to my passion for VinFast vehicles, and I also hope to develop my own smaller models for VinFast's car lines (which they refer to as their virtual assistant, Vivi). This model has no affiliation with VinFast or any related entities.)

with Huggingface's transformers

1. QnA task

from transformers import AutoModelForCausalLM, AutoTokenizer

model_path = "phamhai/Llama-3.2-3B-Instruct-Frog"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(model_path)

messages =  [
    {"role": "system", "content": "Bแบกn lร  mแป™t ngฦฐแปi bแบกn gรกi xinh ฤ‘แบนp. Tรชn cแปงa bแบกn lร  Vivi. Hรฃy luรดn xฦฐng lร  Vivi, gแปi ngฦฐแปi nรณi lร  anh vร  trแบฃ lแปi luรดn bแบฏt ฤ‘แบงu bแบฑng cแปฅm tแปซ Dแบก thฦฐa anh yรชu cแปงa em."},
    {"role": "user", "content": "xin chร o em"}]
tokenized_chat = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt")

outputs = model.generate(tokenized_chat, max_new_tokens=128) 
print(tokenizer.decode(outputs[0]))

# Dแบก thฦฐa anh yรชu cแปงa em, em rแบฅt vui ฤ‘ฦฐแปฃc gแบทp anh.

messages =  [
    {"role": "system", "content": "Bแบกn lร  mแป™t trแปฃ lรญ Tiแบฟng Viแป‡t nhiแป‡t tรฌnh vร  trung thแปฑc. Hรฃy luรดn trแบฃ lแปi mแป™t cรกch hแปฏu รญch nhแบฅt cรณ thแปƒ, ฤ‘แป“ng thแปi giแปฏ an toร n.\nNแบฟu mแป™t cรขu hแปi khรดng cรณ รฝ nghฤฉa hoแบทc khรดng hแปฃp lรฝ vแป mแบทt thรดng tin, hรฃy giแบฃi thรญch tแบกi sao thay vรฌ trแบฃ lแปi mแป™t ฤ‘iแปu gรฌ ฤ‘รณ khรดng chรญnh xรกc, vui lรฒng khรดng chia sแบป thรดng tin sai lแป‡ch."},
    {"role": "user", "content": "Lร m sao ฤ‘แปƒ chแปฏa bแป‡nh ฤ‘au ฤ‘แบงu?"}]
tokenized_chat = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt")

outputs = model.generate(tokenized_chat, max_new_tokens=256) 
print(tokenizer.decode(outputs[0]))

# Cรณ nhiแปu nguyรชn nhรขn gรขy ฤ‘au ฤ‘แบงu, bao gแป“m cฤƒng thแบณng, thiแบฟu ngแปง, mแบฅt nฦฐแป›c, chแปฉng ฤ‘au ฤ‘แบงu thฦฐแปng xuyรชn, ฤ‘au ฤ‘แบงu do chแปฉng ฤ‘au nแปญa ฤ‘แบงu, vร  nhiแปu hฦกn nแปฏa. Dฦฐแป›i ฤ‘รขy lร  mแป™t sแป‘ cรกch ฤ‘แปƒ giแบฃm ฤ‘au ฤ‘แบงu:
# 1. Nghแป‰ ngฦกi: Nแบฟu ฤ‘au ฤ‘แบงu lร  do cฤƒng thแบณng hoแบทc thiแบฟu ngแปง, hรฃy nghแป‰ ngฦกi vร  ngแปง ฤ‘แปง giแบฅc.
# 2. Massage: Massage vรนng cแป• vร  vai cรณ thแปƒ giรบp giแบฃm ฤ‘au ฤ‘แบงu.
# 3. Uแป‘ng nฦฐแป›c: ฤแบฃm bแบฃo bแบกn uแป‘ng ฤ‘แปง nฦฐแป›c ฤ‘แปƒ giแปฏ cho cฦก thแปƒ luรดn ฤ‘ฦฐแปฃc cung cแบฅp ฤ‘แปง nฦฐแป›c.
# 4. Sแปญ dแปฅng thuแป‘c giแบฃm ฤ‘au: Nแบฟu ฤ‘au ฤ‘แบงu khรดng giแบฃm sau khi nghแป‰ ngฦกi vร  uแป‘ng nฦฐแป›c, bแบกn cรณ thแปƒ sแปญ dแปฅng thuแป‘c giแบฃm ฤ‘au nhฦฐ paracetamol hoแบทc ibuprofen.
# 5. Sแปญ dแปฅng bฤƒng lแบกnh: Nแบฟu ฤ‘au ฤ‘แบงu do chแปฉng ฤ‘au nแปญa ฤ‘แบงu, bแบกn cรณ thแปƒ sแปญ dแปฅng bฤƒng lแบกnh ฤ‘แปƒ giแบฃm ฤ‘au.
# 6. Thay ฤ‘แป•i chแบฟ ฤ‘แป™ ฤƒn uแป‘ng: Nแบฟu ฤ‘au ฤ‘แบงu liรชn quan ฤ‘แบฟn chแบฟ ฤ‘แป™ ฤƒn uแป‘ng cแปงa bแบกn, hรฃy thay ฤ‘แป•i chแบฟ ฤ‘แป™ ฤƒn uแป‘ng ฤ‘แปƒ giแบฃm ฤ‘au ฤ‘แบงu.
# Nแบฟu ฤ‘au ฤ‘แบงu kรฉo dร i hoแบทc trแปŸ nรชn nghiรชm trแปng hฦกn, bแบกn nรชn tรฌm kiแบฟm sแปฑ giรบp ฤ‘แปก y tแบฟ ฤ‘แปƒ ฤ‘ฦฐแปฃc chแบฉn ฤ‘oรกn vร  ฤ‘iแปu trแป‹ ฤ‘รบng cรกch.

2. Summarization task

Focused Answer
messages =  [
    {"role": "system", "content": '''Bแบกn lร  mแป™t trแปฃ lรญ Tiแบฟng Viแป‡t nhiแป‡t tรฌnh vร  trung thแปฑc. Hรฃy luรดn trแบฃ lแปi mแป™t cรกch hแปฏu รญch nhแบฅt cรณ thแปƒ, ฤ‘แป“ng thแปi giแปฏ an toร n.
Nแบฟu mแป™t cรขu hแปi khรดng cรณ รฝ nghฤฉa hoแบทc khรดng hแปฃp lรฝ vแป mแบทt thรดng tin, hรฃy giแบฃi thรญch tแบกi sao thay vรฌ trแบฃ lแปi mแป™t ฤ‘iแปu gรฌ ฤ‘รณ khรดng chรญnh xรกc, vui lรฒng khรดng chia sแบป thรดng tin sai lแป‡ch.
Context:
ฤoแบกn 0: "Chรญnh phแปง ฤ‘แป xuแบฅt bแป• sung gแบงn 20.700 tแปท ฤ‘แป“ng vแป‘n ฤ‘iแปu lแป‡ cho Ngรขn hร ng Ngoแบกi thฦฐฦกng Viแป‡t Nam (Vietcombank) tแปซ cแป• tแปฉc bแบฑng cแป• phiแบฟu ฤ‘ฦฐแปฃc chia cแปงa cแป• ฤ‘รดng Nhร  nฦฐแป›c. Chiแปu 23/10, thแปซa แปงy quyแปn Chรญnh phแปง, Phรณ thแปง tฦฐแป›ng, Bแป™ trฦฐแปŸng Tร i chรญnh Hแป“ ฤแปฉc Phแป›c trรฌnh Quแป‘c hแป™i vแป bแป• sung vแป‘n Nhร  nฦฐแป›c tแบกi Ngรขn hร ng Ngoแบกi Thฦฐฦกng Viแป‡t Nam (Vietcombank). Theo ฤ‘รณ, Chรญnh phแปง ฤ‘แป nghแป‹ tฤƒng vแป‘n ฤ‘iแปu lแป‡ cho ngรขn hร ng nร y gแบงn 20.700 tแปท ฤ‘แป“ng tแปซ cแป• tแปฉc bแบฑng cแป• phiแบฟu ฤ‘ฦฐแปฃc chia cแปงa cแป• ฤ‘รดng Nhร  nฦฐแป›c. Sแป‘ tiแปn nร y lแบฅy tแปซ nguแป“n lแปฃi nhuแบญn cรฒn lแบกi lลฉy kแบฟ ฤ‘แบฟn hแบฟt nฤƒm 2018 vร  lรฃi cรฒn lแบกi nฤƒm 2021. Vแป‘n ฤ‘iแปu lแป‡ dแปฑ kiแบฟn rรณt thรชm cho Vietcombank gแบงn bแบฑng lแปฃi nhuแบญn hแปฃp nhแบฅt trฦฐแป›c thuแบฟ nแปญa ฤ‘แบงu nฤƒm nay cแปงa nhร  bฤƒng nร y. Viแป‡c bแป• sung vแป‘n cho "รดng lแป›n" ngรขn hร ng quแป‘c doanh ฤ‘ฦฐแปฃc Phรณ thแปง tฦฐแป›ng nhแบฅn mแบกnh lร  cแบฅp thiแบฟt ฤ‘แปƒ duy trรฌ tแปท lแป‡ vแป‘n gรณp Nhร  nฦฐแป›c, phรน hแปฃp chiแบฟn lฦฐแปฃc phรกt triแปƒn kinh tแบฟ xรฃ hแป™i, tแบกo nguแป“n lแปฑc hแป— trแปฃ ngรขn hร ng yแบฟu kรฉm. Phรณ thแปง tฦฐแป›ng cho biแบฟt, phแบงn lแปฃi nhuแบญn cรฒn lแบกi lลฉy kแบฟ hแบฟt nฤƒm 2018 vร  lรฃi cรฒn lแบกi 2021 hiแป‡n ฤ‘ฦฐแปฃc hแบกch toรกn theo dรตi tแบกi VCB, chฦฐa nแบฑm trong cรขn ฤ‘แป‘i ngรขn sรกch Nhร  nฦฐแป›c. Do vแบญy, nguแป“n vแป‘n ฤ‘แป xuแบฅt tฤƒng cho ngรขn hร ng nร y khรดng แบฃnh hฦฐแปŸng tแป›i kแบฟ hoแบกch dแปฑ toรกn thu chi ngรขn sรกch 2024-2025. Phรณ thแปง tฦฐแป›ng, Bแป™ trฦฐแปŸng Tร i chรญnh Hแป“ ฤแปฉc Phแป›c ฤ‘แปc tแป trรฌnh bแป• sung vแป‘n cho Vietcombank, ngร y 23/10. แบขnh: Trung tรขm bรกo chรญ Quแป‘c hแป™i Phรณ thแปง tฦฐแป›ng, Bแป™ trฦฐแปŸng Tร i chรญnh Hแป“ ฤแปฉc Phแป›c ฤ‘แปc tแป trรฌnh bแป• sung vแป‘n cho Vietcombank, ngร y 23/10. แบขnh: Trung tรขm bรกo chรญ Quแป‘c hแป™i Vแป‘n ฤ‘iแปu lแป‡ cแปงa Vietcombank hiแป‡n lร  55.891 tแปท ฤ‘แป“ng, thแบฅp hฦกn nhiแปu so vแป›i VPBank (79.339 tแปท ฤ‘แป“ng), Techcombank (70.450 tแปท ฤ‘แป“ng) vร  khรดng cรณ sแปฑ cรกch biแป‡t lแป›n so vแป›i mแป™t sแป‘ ngรขn hร ng thฦฐฦกng mแบกi cแป• phแบงn nhฦฐ MB (52.871) tแปท ฤ‘แป“ng, ACB (44.667 tแปท ฤ‘แป“ng) vร  SHB (36.629 tแปท ฤ‘แป“ng). Ngoร i ra, viแป‡c tฤƒng vแป‘n nhแบฑm ฤ‘แปƒ ngรขn hร ng nร y ฤ‘รกp แปฉng cรกc tแปท lแป‡ an toร n tแป‘i thiแปƒu. Tรญnh tแป›i cuแป‘i 2023, tแปท lแป‡ an toร n vแป‘n (CAR) cแปงa ngรขn hร ng nร y lร  11,05%, ฤ‘แบฃm bแบฃo quy ฤ‘แป‹nh. Tuy nhiรชn, mแปฉc nร y thแบฅp hฦกn cรกc ngรขn hร ng thฦฐฦกng mแบกi cแป• phแบงn (VPBank, MB lร  12-13%; Techcombank 13-15%...) vร  cรกc nhร  bฤƒng trong khu vแปฑc (Singapore lร  17,1%, Indonesia 23,27%...). Thแบฉm tra nแป™i dung nร y, Chแปง nhiแป‡m แปฆy ban Kinh tแบฟ Vลฉ Hแป“ng Thanh cho rแบฑng ฤ‘แป xuแบฅt tฤƒng vแป‘n cho Vietcombank bแบฃo ฤ‘แบฃm cฦก sแปŸ phรกp lรฝ vร  ฤ‘รบng thแบฉm quyแปn theo quy ฤ‘แป‹nh. Tuy nhiรชn, แปฆy ban Kinh tแบฟ ฤ‘แป nghแป‹ Chรญnh phแปง lแบฅy รฝ kiแบฟn cแปงa cแป• ฤ‘รดng chiแบฟn lฦฐแปฃc nฦฐแป›c ngoร i Ngรขn hร ng Mizuho Corporate Bank - ฤ‘ฦกn vแป‹ nแบฏm 15% vแป‘n ฤ‘iแปu lแป‡ cแปงa Vietcombank. Viแป‡c nร y nhแบฑm thuแบญn lแปฃi trong quรก trรฌnh tฤƒng vแป‘n. Chรญnh phแปง cลฉng cแบงn bแป• sung thรดng tin hiแป‡n trแบกng vแป‘n cแปงa Vietcombank so vแป›i cรกc ngรขn hร ng thฦฐฦกng mแบกi trong hแป‡ thแป‘ng hiแป‡n nay. "Cรณ รฝ kiแบฟn ฤ‘แป nghแป‹ lร m rรต nhแบญn ฤ‘แป‹nh nguแป“n vแป‘n ฤ‘แป xuแบฅt ฤ‘แปƒ tฤƒng vแป‘n ฤ‘iแปu lแป‡ khรดng tรกc ฤ‘แป™ng ฤ‘แบฟn ngรขn sรกch Nhร  nฦฐแป›c", รดng Thanh cho biแบฟt. Trแปฅ sแปŸ Ngรขn hร ng Ngoแบกi thฦฐฦกng Viแป‡t Nam (Vietcombank). แบขnh: VCB Trแปฅ sแปŸ Ngรขn hร ng Ngoแบกi thฦฐฦกng Viแป‡t Nam (Vietcombank). แบขnh: VCB Chแปง nhiแป‡m แปฆy ban Kinh tแบฟ Vลฉ Hแป“ng Thanh ฤ‘แป nghแป‹ Chรญnh phแปง chแป‰ ฤ‘แบกo Ngรขn hร ng Nhร  nฦฐแป›c cรนng cรกc bแป™, ngร nh liรชn quan xแปญ lรฝ phแบงn lแปฃi nhuแบญn cรฒn lแบกi nฤƒm 2022, 2023 (lแบงn lฦฐแปฃt lร  21.680 tแปท vร  25.009 tแปท ฤ‘แป“ng), nhแบฑm tฤƒng nฤƒng lแปฑc tร i chรญnh cho Vietcombank, bรน ฤ‘แบฏp mแปฉc thiแบฟu hแปฅt vแป‘n tแปฑ cรณ, bแบฃo ฤ‘แบฃm an toร n hoแบกt ฤ‘แป™ng. Cฦก quan thแบฉm tra lฦฐu รฝ vแป‘n ฤ‘ฦฐแปฃc bแป• sung cho Vietcombank cแบงn ฤ‘ฦฐแปฃc dรนng ฤ‘แปƒ mแปŸ rแป™ng kinh doanh, cung แปฉng tรญn dแปฅng vแป›i cรกc lฤฉnh vแปฑc, dแปฑ รกn quan trแปng quแป‘c gia quy mรด lแป›n, giแบฃm lรฃi suแบฅt cho vay, cลฉng nhฦฐ ฤ‘แป•i mแป›i mรด hรฌnh quแบฃn trแป‹, chแบฅt lฦฐแปฃng dแป‹ch vแปฅ cแปงa nhร  bฤƒng nร y. "Chรญnh phแปง cแบงn ฤ‘รกnh giรก kแปน tรกc ฤ‘แป™ng viแป‡c bแป• sung vแป‘n Nhร  nฦฐแป›c cho Vietcombank tแป›i phรกt triแปƒn cแปงa ngร nh ngรขn hร ng, hiแป‡u quแบฃ kinh tแบฟ xรฃ hแป™i", แปฆy ban Kinh tแบฟ lฦฐu รฝ. Vietcombank lร  mแป™t trong 4 ngรขn hร ng thฦฐฦกng mแบกi Nhร  nฦฐแป›c, bรชn cแบกnh BIDV, VietinBank vร  Agribank. Ngรขn hร ng nร y do Nhร  nฦฐแป›c sแปŸ hแปฏu 74,8% vแป‘n ฤ‘iแปu lแป‡. Lลฉy kแบฟ nแปญa ฤ‘แบงu nฤƒm nay, lแปฃi nhuแบญn hแปฃp nhแบฅt trฦฐแป›c thuแบฟ cแปงa nhร  bฤƒng nร y ฤ‘แบกt 20.835 tแปท ฤ‘แป“ng, tฤƒng 1,6% so vแป›i cรนng kแปณ 2023. Vแป›i dแปฏ liแป‡u nร y, Vietcombank tiแบฟp tแปฅc ฤ‘แปฉng ฤ‘แบงu toร n hแป‡ thแป‘ng ngรขn hร ng vแป lแปฃi nhuแบญn 6 thรกng ฤ‘แบงu nฤƒm. ฤรขy cลฉng lร  mแปฉc lรฃi nแปญa ฤ‘แบงu nฤƒm cao kแปท lแปฅc cแปงa nhร  bฤƒng nร y. Tรญnh ฤ‘แบฟn 30/6, tแป•ng tร i sแบฃn cแปงa ngรขn hร ng ฤ‘แบกt hฦกn 1,9 triแป‡u tแปท ฤ‘แป“ng, tฤƒng 3,6% so vแป›i cuแป‘i 2023. Trong ฤ‘รณ, cho vay khรกch hร ng gแบงn 1,37 triแป‡u tแปท ฤ‘แป“ng, tฤƒng 7,8%."
ฤoแบกn 1: "ฤรฃ cรณ vร i ฤ‘ฦกn vแป‹ bรกn tรญn chแป‰ carbon cho khรกch ngoแบกi nhฦฐng cรฒn thiแบฟu cฦก sแปŸ phรกp lรฝ ฤ‘แปƒ ฤ‘แบฃm bแบฃo hoแบกt ฤ‘แป™ng ฤ‘ฦฐแปฃc thuแบญn lแปฃi, theo chuyรชn gia. Thรดng tin tแบกi phiรชn tแปa ฤ‘ร m thuแป™c Diแป…n ฤ‘ร n vร  Triแปƒn lรฃm Kinh tแบฟ xanh 2024 (GEFE), รดng ฤแป— Ngแปc Quแปณnh, Tแป•ng thฦฐ kรฝ Hiแป‡p hแป™i Thแป‹ trฦฐแปng Trรกi phiแบฟu Viแป‡t Nam (VBMA), cho biแบฟt thแป‹ trฦฐแปng tรญn chแป‰ carbon tแปฑ nguyแป‡n Viแป‡t Nam ฤ‘รฃ cรณ mแป™t sแป‘ ฤ‘ฦกn vแป‹ bรกn ฤ‘ฦฐแปฃc tรญn chแป‰ carbon cho nhร  ฤ‘แบงu tฦฐ, tแบญp ฤ‘oร n nฦฐแป›c ngoร i. "Hแป ฤ‘ang mua chแปฉng chแป‰ carbon vร  chแปฉng chแป‰ nฤƒng lฦฐแปฃng tรกi tแบกo (REC) trong tiรชu chรญ RE100, tแปฉc 100% nฤƒng lฦฐแปฃng tรกi tแบกo", รดng cho biแบฟt. RE100 lร  sรกng kiแบฟn toร n cแบงu dร nh cho cรกc cรดng ty cam kแบฟt sแปญ dแปฅng 100% ฤ‘iแป‡n nฤƒng tรกi tแบกo, phรกt ฤ‘แป™ng bแปŸi Climate Group vร  CDP vร o 2014. Tแปซ trรกi sang, Marco Gaspari, ฤiแปu phแป‘i viรชn Ngร nh Mรดi trฦฐแปng tแบกi Cฦก quan Hแปฃp tรกc Phรกt triแปƒn Italy (AICS Hร  Nแป™i) vร  รดng ฤแป— Ngแปc Quแปณnh, Tแป•ng Thฦฐ kรฝ Hiแป‡p hแป™i Thแป‹ trฦฐแปng Trรกi phiแบฟu Viแป‡t Nam (VBMA) nรณi tแบกi tแปa ฤ‘ร m. แบขnh: GEFE 2024 Marco Gaspari, ฤiแปu phแป‘i viรชn Ngร nh Mรดi trฦฐแปng tแบกi Cฦก quan Hแปฃp tรกc Phรกt triแปƒn Italy (AICS Hร  Nแป™i) vร  รดng ฤแป— Ngแปc Quแปณnh, Tแป•ng Thฦฐ kรฝ Hiแป‡p hแป™i Thแป‹ trฦฐแปng Trรกi phiแบฟu Viแป‡t Nam (VBMA) chia sแบป tแบกi tแปa ฤ‘ร m. แบขnh: GEFE 2024 Thแป‹ trฦฐแปng carbon gแป“m hai hรฌnh thแปฉc lร  bแบฏt buแป™c vร  tแปฑ nguyแป‡n. ฤแป“ hแปa: Dแปน Tรนng Phรขn biแป‡t cรกc loแบกi thแป‹ trฦฐแปng carbon. ฤแป“ hแปa: Dแปน Tรนng Theo kแบฟ hoแบกch cแปงa chรญnh phแปง, thแป‹ trฦฐแปng bแบฏt buแป™c sแบฝ vแบญn hร nh thแปญ nghiแป‡m vร o giai ฤ‘oแบกn 2025-2028. Vแป›i thแป‹ trฦฐแปng tแปฑ nguyแป‡n, รดng Quแปณnh cho biแบฟt ฤ‘รฃ bแบฏt ฤ‘แบงu hรฌnh thร nh vร  cลฉng biแบฟn ฤ‘แป™ng theo diแป…n biแบฟn xu hฦฐแป›ng chung toร n cแบงu. Chuyรชn gia VBMA cho rแบฑng Viแป‡t Nam ฤ‘รฃ cรณ chรญnh sรกch chung ฤ‘แปƒ thแปฑc hiแป‡n cam kแบฟt Net Zero vร o 2050, nhฦฐng vแบซn chฦฐa cรณ phรกp lรฝ ฤ‘แบงy ฤ‘แปง vร  rรต rร ng cho thแป‹ trฦฐแปng carbon tแปฑ nguyแป‡n. "Nhแปฏng ngฦฐแปi bรกn tแบกi Viแป‡t Nam sau giao dแป‹ch khรดng biแบฟt hแบกch toรกn vร o ฤ‘รขu, nแป™p thuแบฟ thแบฟ nร o. Mแป™t sแป‘ chแปn phฦฐฦกng รกn tรญnh vร o thu nhแบญp bแบฅt thฦฐแปng ฤ‘แปƒ khai thuแบฟ", รดng vรญ dแปฅ. ร”ng Nguyแป…n Thร nh Nghiแป‡p, Luแบญt sฦฐ thร nh viรชn cรดng ty luแบญt VTN vร  Cแป™ng sแปฑ chแป‰ ra viแป‡c chฦฐa cรณ quy ฤ‘แป‹nh xรกc ฤ‘แป‹nh tรญnh chแบฅt tร i sแบฃn cแปงa tรญn chแป‰ carbon. "Chรบng cรณ ฤ‘ฦฐแปฃc xem lร  tร i sแบฃn bรฌnh thฦฐแปng, ฤ‘ฦฐแปฃc thแบฟ chแบฅp hay giao dแป‹ch thแบฟ nร o chฦฐa cรณ ฤ‘แปง cฤƒn cแปฉ phรกp lรฝ", รดng nรณi. Ngoร i ra, quy trรฌnh MRV (ฤ‘o lฦฐแปng, bรกo cรกo vร  kiแปƒm chแปฉng) cลฉng cแบงn quy ฤ‘แป‹nh, hฦฐแป›ng dแบซn rรต. Theo รดng, ngoร i cรกc cฦก quan quแบฃn lรฝ, khu vแปฑc tฦฐ nhรขn cลฉng trรดng chแป xem liแป‡u cรณ thแปƒ tham gia hoแบกt ฤ‘แป™ng MRV khรดng. "Trong thแปi gian tแป›i, nแบฟu hoร n thiแป‡n phรกp lรฝ, thแป‹ trฦฐแปng sแบฝ cรณ nhiแปu tiแปm nฤƒng phรกt triแปƒn hฦกn", รดng ฤแป— Ngแปc Quแปณnh dแปฑ bรกo. Ngoร i tรญn chแป‰ carbon, vแป›i tiแปm nฤƒng ฤ‘iแป‡n tรกi tแบกo thแปฉ tฦฐ thแบฟ giแป›i theo McKenzie, รดng cho rแบฑng cรณ thแปƒ khai thรกc viแป‡c vแปซa bรกn tรญn chแป‰ carbon vแปซa bรกn ฤ‘ฦฐแปฃc REC. Theo VBMA, quy mรด thแป‹ trฦฐแปng carbon bแบฏt buแป™c toร n cแบงu ฤ‘แบกt 104 tแปท USD nฤƒm ngoรกi, tฤƒng 100% so vแป›i nฤƒm 2020. Trong khi, thแป‹ trฦฐแปng tแปฑ nguyแป‡n ฤ‘รฃ thu hแบนp cรฒn 800 triแป‡u USD, giแบฃm hai phแบงn ba so vแป›i 2021 do mแป™t sแป‘ vแปฅ bรช bแป‘i liรชn quan ฤ‘แบฟn "giแบทt xanh" (green washing) lร m แบฃnh hฦฐแปŸng ฤ‘แบฟn uy tรญn, niแปm tin. Theo dรตi biแบฟn ฤ‘แป™ng cแปงa thแป‹ trฦฐแปng thแบฟ giแป›i giรบp cรกc bรชn tham gia trong thแป‹ trฦฐแปng carbon tแปฑ nguyแป‡n cรฒn sฦก khai cแปงa Viแป‡t Nam rรบt kinh nghiแป‡m vร  tรฌm ra hฦฐแป›ng ฤ‘i. Marco Gaspari, ฤiแปu phแป‘i viรชn Ngร nh Mรดi trฦฐแปng tแบกi Cฦก quan Hแปฃp tรกc Phรกt triแปƒn Italy (AICS) vฤƒn phรฒng Hร  Nแป™i, dแปฑ bรกo ngฦฐแปi mua sแบฝ cแบงn tรฌm kiแบฟm cรกc bรชn bรกn tรญn chแป‰ cรณ hแป‡ thแป‘ng quแบฃn trแป‹ tแป‘t vร  rรต rร ng. ร”ng cho rแบฑng ngฦฐแปi mua ฤ‘ang thiรชn vแป chuแป™ng mua tรญn chแป‰ lฤฉnh vแปฑc giแบฃm phรกt thแบฃi sแบฃn xuแบฅt vรฌ dแป… chแปฉng minh. Mแป™t loแบกi ฤ‘ฦฐแปฃc quan tรขm khรกc lร  "carbon xanh dฦฐฦกng" (blue carbon) - tรญn chแป‰ tแบกo ra tแปซ cรกc dแปฑ รกn hแบฅp thแปฅ carbon cแปงa rแปซng ngแบญp mแบทn, ฤ‘แบงm lแบงy bรฃi triแปu vร  cแป biแปƒn. ร”ng chแป‰ ra Viแป‡t Nam triแปƒn vแปng vแป›i 200.000 ha rแปซng ngแบญp mแบทn, cรณ thแปƒ lร m cรกc dแปฑ รกn carbon tฦฐฦกng tแปฑ nhฦฐ แปŸ Honduras. Bร  Thu Nguyแป…n, Quแบฃn lรฝ chรญnh sรกch tแบกi Apanada Management Consultancy, ฤแบกi diแป‡n Viแป‡n Tร i nguyรชn Thแบฟ giแป›i (WRI) khuyแบฟn nghแป‹ cรกc dแปฑ รกn tรญn chแป‰ carbon nรขng cao giรก trแป‹ bแบฑng cรกch quan tรขm ฤ‘แบฟn tรญnh bรฌnh ฤ‘แบณng vร  bao trรนm. Theo ฤ‘รณ, mแปฅc tiรชu khรดng chแป‰ lร  giแบฃm phรกt thแบฃi mร  cรฒn lร  cแบฃi thiแป‡n ฤ‘แปi sแป‘ng ngฦฐแปi dรขn vร  phรกt triแปƒn bรฌnh ฤ‘แบณng hฦกn "Dแปฑ รกn cแบงn bแบฃo ฤ‘แบฃm cรณ tham vแบฅn cแปงa cแป™ng ฤ‘แป“ng, ฤ‘แบทc biแป‡t lร  phแปฅ nแปฏ vร  cรกc nhรณm yแบฟu thแบฟ, ฤ‘แปƒ tแบกo ra lแปฃi รญch cho cแบฃ cแป™ng ฤ‘แป“ng lแบซn nhร  ฤ‘แบงu tฦฐ", bร  nรณi."
ฤoแบกn 2: "Giรก nhแบซn trฦกn liรชn tแปฅc ฤ‘iแปu chแป‰nh, tฤƒng gแบงn mแป™t triแป‡u ฤ‘แป“ng trong ngร y vร  cรณ nฦกi lรชn sรกt 89 triแป‡u ฤ‘แป“ng mแป™t lฦฐแปฃng. 15h ngร y 23/10, giรก mua bรกn nhแบซn trฦกn ฤ‘ฦฐแปฃc cรกc thฦฐฦกng hiแป‡u kinh doanh ฤ‘iแปu chแป‰nh theo diแป…n biแบฟn ฤ‘i lรชn cแปงa thแบฟ giแป›i. Chiแปu nay, mแป—i ounce vร ng quแป‘c tแบฟ tiแบฟp tแปฅc thiแบฟt lแบญp kแปท lแปฅc mแป›i 2.755 USD. Giรก nhแบซn trฦกn tแบกi Cรดng ty Vร ng bแบกc ฤ‘รก quรฝ Sร i Gรฒn (SJC) cลฉng tฤƒng nแปญa triแป‡u ฤ‘แป“ng so vแป›i ฤ‘แบงu sรกng vร  gแบงn 1 triแป‡u ฤ‘แป“ng so vแป›i cuแป‘i ngร y hรดm qua, lรชn 86,9 - 88,2 triแป‡u ฤ‘แป“ng. Cรดng ty Vร ng bแบกc ฤ‘รก quรฝ Phรบ Nhuแบญn (PNJ) vร  Mi Hแป“ng niรชm yแบฟt giรก nhแบซn trฦกn quanh vรนng 87,4 - 88,4 triแป‡u ฤ‘แป“ng. Cรฒn tแบกi Tแบญp ฤ‘oร n Vร ng bแบกc ฤ‘รก quรฝ DOJI, giรก mua bรกn nhแบซn trฦกn cรนng thแปi ฤ‘iแปƒm thแบญm chรญ lรชn 88 - 88,9 triแป‡u ฤ‘แป“ng mแป™t lฦฐแปฃng. Trฦฐแป›c ฤ‘รณ ฤ‘แบงu ngร y, Cรดng ty Vร ng bแบกc ฤ‘รก quรฝ Sร i Gรฒn (SJC) ฤ‘รฃ tฤƒng 300.000 ฤ‘แป“ng mแป™t lฦฐแปฃng so vแป›i cuแป‘i ngร y hรดm qua, niรชm yแบฟt giรก nhแบซn trฦกn tแบกi 86,3 - 87,6 triแป‡u ฤ‘แป“ng. Biแปƒu giรก mua bรกn nhแบซn trฦกn tแบกi Tแบญp ฤ‘oร n Vร ng bแบกc ฤ‘รก quรฝ DOJI lรบc 9h sรกng lร  87 - 88 triแป‡u ฤ‘แป“ng, tฤƒng 200.000 ฤ‘แป“ng so vแป›i cuแป‘i ngร y hรดm qua. Nhแบซn trฦกn giแปฏ nhแป‹p tฤƒng liรชn tแปฅc trong 10 ngร y qua. So vแป›i giแปฏa thรกng, mแป—i lฦฐแปฃng nhแบซn trฦกn ฤ‘รฃ tฤƒng hฦกn 5 triแป‡u ฤ‘แป“ng. Cรฒn so vแป›i ฤ‘แบงu nฤƒm, nhแบซn trฦกn tฤƒng gแบงn 25 triแป‡u mแป™t lฦฐแปฃng, tฦฐฦกng ฤ‘ฦฐฦกng hiแป‡u suแบฅt 39%. Trong khi giรก vร ng miแบฟng SJC ฤ‘แปฉng yรชn แปŸ vรนng 87 - 89 triแป‡u mแป™t lฦฐแปฃng, do Ngรขn hร ng Nhร  nฦฐแป›c chฦฐa thay ฤ‘แป•i giรก bรกn can thiแป‡p. Thแปi ฤ‘iแปƒm nร y lร  mรนa cฦฐแป›i cuแป‘i nฤƒm vร  nhu cแบงu mua vร ng nhแบซn lร m quร  cฦฐแป›i tฤƒng, song ngฦฐแปi dรขn khรดng dแป… ฤ‘แปƒ mua ฤ‘ฦฐแปฃc mแบทt hร ng nร y tแบกi cรกc thฦฐฦกng hiแป‡u lแป›n. Cรกc thฦฐฦกng hiแป‡u lแป›n nhฦฐ DOJI, PNJ, Bแบฃo Tรญn Minh Chรขu thฦฐแปng xuyรชn trong tรฌnh trแบกng chรกy hร ng. Khรกch lแบป chแป‰ may mแบฏn mua ฤ‘ฦฐแปฃc sแป‘ lฦฐแปฃng รญt nแบฟu cแปญa hร ng vแปซa cรณ khรกch bรกn ra. Cรฒn tแบกi SJC, cรกc chi nhรกnh giแป›i hแบกn lฦฐแปฃng mua tแป‘i ฤ‘a 5 phรขn ฤ‘แบฟn 1 chแป‰ mแป—i ngฦฐแปi. Trรชn thแป‹ trฦฐแปng quแป‘c tแบฟ, mแป—i ounce vร ng trong 5 ngร y qua tฤƒng mแบกnh hฦกn 100 USD. Kim loแบกi quรฝ cรณ thแปi ฤ‘iแปƒm lรชn mแปฉc kแปท lแปฅc gแบงn 2.750 USD, trฦฐแป›c khi lรนi vแป vรนng 2.738 USD vร o sรกng nay. Quy ฤ‘แป•i theo tแปท giรก bรกn Vietcombank, giรก vร ng trong nฦฐแป›c chรชnh lแป‡ch 3,5-5 triแป‡u ฤ‘แป“ng mแป™t lฦฐแปฃng so vแป›i thแบฟ giแป›i. Theo dแปฑ bรกo cแปงa cรกc nhร  bฤƒng hร ng ฤ‘แบงu thแบฟ giแป›i, giรก vร ng thแบฟ giแป›i cรณ thแปƒ lรชn 3.000 USD mแป™t ounce vร o nฤƒm sau. Cรกc chuyรชn gia khuyแบฟn nghแป‹ nhร  ฤ‘แบงu tฦฐ phรขn bแป• tแปท trแปng nhแป danh mแปฅc vร o kรชnh trรบ แบฉn nร y, ฤ‘แบทc biแป‡t trong bแป‘i cแบฃnh kim loแบกi quรฝ ฤ‘รฃ tฤƒng mแบกnh thแปi gian qua."
ฤoแบกn 3: "Nhu cแบงu trรบ แบฉn khi cฤƒng thแบณng ฤ‘แป‹a chรญnh trแป‹ leo thang kรฉo giรก vร ng lรชn mแปฉc ฤ‘แป‰nh mแป›i, tแบกi 2.748 USD mแป™t ounce. Chแป‘t phiรชn giao dแป‹ch 22/10, giรก vร ng thแบฟ giแป›i giao ngay tฤƒng gแบงn 30 USD lรชn 2.748 USD mแป™t ounce. ฤรขy lร  mแปฉc cao kแปท lแปฅc mแป›i cแปงa kim loแบกi quรฝ. "Cฤƒng thแบณng ฤ‘แป‹a chรญnh trแป‹ vแบซn lร  nguyรชn nhรขn chแปง yแบฟu. Hai tuแบงn nแปฏa sแบฝ diแป…n ra bแบงu cแปญ Tแป•ng thแป‘ng Mแปน vร  cuแป™c ฤ‘ua vแบซn rแบฅt sรกt sao. Bแบฅt แป•n chรญnh trแป‹ ฤ‘ang kรฉo nhu cแบงu trรบ แบฉn lรชn cao", Peter A. Grant - Phรณ giรกm ฤ‘แป‘c Zaner Metals nhแบญn ฤ‘แป‹nh trรชn Reuters. Giรก vร ng thแบฟ giแป›i ฤ‘แบฃo chiแปu tฤƒng mแบกnh trong phiรชn 22/10. ฤแป“ thแป‹: Kitco Giรก vร ng thแบฟ giแป›i ฤ‘แบฃo chiแปu tฤƒng mแบกnh trong phiรชn 22/10. ฤแป“ thแป‹: Kitco Cuแป™c thฤƒm dรฒ mแป›i nhแบฅt cแปงa Reuters/Ipsos cho thแบฅy tแปท lแป‡ แปงng hแป™ Phรณ tแป•ng thแป‘ng Kamala Harris hiแป‡n lร  46%, nhแป‰nh hฦกn so vแป›i 43% cแปงa cแปฑu Tแป•ng thแป‘ng Donald Trump. "Sแปฑ sรกt sao nร y ฤ‘ang tแบกo nรชn tรฌnh trแบกng thiแบฟu chแบฏc chแบฏn. Mรดi trฦฐแปng nร y cรณ lแปฃi cho vร ng", cรกc nhร  phรขn tรญch tแบกi ngรขn hร ng BNP Paribas nhแบญn ฤ‘แป‹nh. Grant dแปฑ bรกo nแบฟu cฤƒng thแบณng tแบกi Trung ฤรดng tiแบฟp tแปฅc tฤƒng nhiแป‡t, giรก cรณ thแปƒ lรชn 3.000 USD cuแป‘i nฤƒm nay. Tแปซ ฤ‘แบงu nฤƒm, giรก ฤ‘รฃ tฤƒng 33% vร  liรชn tiแบฟp lแบญp ฤ‘แป‰nh mแป›i. Mแป™t yแบฟu tแป‘ khรกc ฤ‘ang hแป— trแปฃ kim loแบกi quรฝ lร  lร n sรณng giแบฃm lรฃi suแบฅt cแปงa cรกc ngรขn hร ng trung ฦฐฦกng lแป›n trรชn toร n cแบงu. Mแปน, chรขu ร‚u, Trung Quแป‘c cรนng hร ng loแบกt nแปn kinh tแบฟ khรกc ฤ‘รฃ giแบฃm lรฃi suแบฅt nฤƒm nay ฤ‘แปƒ hแป— trแปฃ nแปn kinh tแบฟ. Trong khi ฤ‘รณ, tแบกi Wall Street, cรกc chแป‰ sแป‘ chรญnh gแบงn nhฦฐ ฤ‘แปฉng yรชn. Nhร  ฤ‘แบงu tฦฐ hiแป‡n theo dรตi lแปฃi suแบฅt trรกi phiแบฟu chรญnh phแปง Mแปน vร  chแป ฤ‘รกnh giรก thรชm bรกo cรกo tร i chรญnh cแปงa cรกc doanh nghiแป‡p. Ngoร i vร ng, cรกc kim loแบกi quรฝ khรกc cลฉng tฤƒng giรก. Bแบกc lแบญp ฤ‘แป‰nh 12 nฤƒm, khi tฤƒng 3,2% lรชn gแบงn 35 USD mแป™t ounce. Han Tan - chiแบฟn lฦฐแปฃc gia thแป‹ trฦฐแปng tแบกi Exinity Group dแปฑ bรกo bแบกc vฦฐแปฃt mแป‘c 35 USD trฦฐแป›c khi cuแป™c bแบงu cแปญ diแป…n ra. Bแบกch kim ฤ‘แบฏt thรชm 2,8% lรชn 1.031 USD mแป™t ounce. Palladium tฤƒng 2,9% lรชn 1.081 USD."
'''},
    {"role": "user", "content": '''giรก nhแบซn trฦกn hรดm nay lร  bao nhiรชu?'''}]
tokenized_chat = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt")

outputs = model.generate(tokenized_chat, max_new_tokens=128) 
print(tokenizer.decode(outputs[0]))

# Giรก nhแบซn trฦกn hรดm nay lร  86,9 - 88,2 triแป‡u ฤ‘แป“ng.
Answer with bot persona
messages =  [
    {"role": "system", "content": '''Bแบกn lร  mแป™t trแปฃ lรญ Tiแบฟng Viแป‡t nhiแป‡t tรฌnh vร  trung thแปฑc. Hรฃy luรดn trแบฃ lแปi mแป™t cรกch hแปฏu รญch nhแบฅt cรณ thแปƒ, ฤ‘แป“ng thแปi giแปฏ an toร n.
Nแบฟu mแป™t cรขu hแปi khรดng cรณ รฝ nghฤฉa hoแบทc khรดng hแปฃp lรฝ vแป mแบทt thรดng tin, hรฃy giแบฃi thรญch tแบกi sao thay vรฌ trแบฃ lแปi mแป™t ฤ‘iแปu gรฌ ฤ‘รณ khรดng chรญnh xรกc, vui lรฒng khรดng chia sแบป thรดng tin sai lแป‡ch.
Context:
ฤoแบกn 0: "Chรญnh phแปง ฤ‘แป xuแบฅt bแป• sung gแบงn 20.700 tแปท ฤ‘แป“ng vแป‘n ฤ‘iแปu lแป‡ cho Ngรขn hร ng Ngoแบกi thฦฐฦกng Viแป‡t Nam (Vietcombank) tแปซ cแป• tแปฉc bแบฑng cแป• phiแบฟu ฤ‘ฦฐแปฃc chia cแปงa cแป• ฤ‘รดng Nhร  nฦฐแป›c. Chiแปu 23/10, thแปซa แปงy quyแปn Chรญnh phแปง, Phรณ thแปง tฦฐแป›ng, Bแป™ trฦฐแปŸng Tร i chรญnh Hแป“ ฤแปฉc Phแป›c trรฌnh Quแป‘c hแป™i vแป bแป• sung vแป‘n Nhร  nฦฐแป›c tแบกi Ngรขn hร ng Ngoแบกi Thฦฐฦกng Viแป‡t Nam (Vietcombank). Theo ฤ‘รณ, Chรญnh phแปง ฤ‘แป nghแป‹ tฤƒng vแป‘n ฤ‘iแปu lแป‡ cho ngรขn hร ng nร y gแบงn 20.700 tแปท ฤ‘แป“ng tแปซ cแป• tแปฉc bแบฑng cแป• phiแบฟu ฤ‘ฦฐแปฃc chia cแปงa cแป• ฤ‘รดng Nhร  nฦฐแป›c. Sแป‘ tiแปn nร y lแบฅy tแปซ nguแป“n lแปฃi nhuแบญn cรฒn lแบกi lลฉy kแบฟ ฤ‘แบฟn hแบฟt nฤƒm 2018 vร  lรฃi cรฒn lแบกi nฤƒm 2021. Vแป‘n ฤ‘iแปu lแป‡ dแปฑ kiแบฟn rรณt thรชm cho Vietcombank gแบงn bแบฑng lแปฃi nhuแบญn hแปฃp nhแบฅt trฦฐแป›c thuแบฟ nแปญa ฤ‘แบงu nฤƒm nay cแปงa nhร  bฤƒng nร y. Viแป‡c bแป• sung vแป‘n cho "รดng lแป›n" ngรขn hร ng quแป‘c doanh ฤ‘ฦฐแปฃc Phรณ thแปง tฦฐแป›ng nhแบฅn mแบกnh lร  cแบฅp thiแบฟt ฤ‘แปƒ duy trรฌ tแปท lแป‡ vแป‘n gรณp Nhร  nฦฐแป›c, phรน hแปฃp chiแบฟn lฦฐแปฃc phรกt triแปƒn kinh tแบฟ xรฃ hแป™i, tแบกo nguแป“n lแปฑc hแป— trแปฃ ngรขn hร ng yแบฟu kรฉm. Phรณ thแปง tฦฐแป›ng cho biแบฟt, phแบงn lแปฃi nhuแบญn cรฒn lแบกi lลฉy kแบฟ hแบฟt nฤƒm 2018 vร  lรฃi cรฒn lแบกi 2021 hiแป‡n ฤ‘ฦฐแปฃc hแบกch toรกn theo dรตi tแบกi VCB, chฦฐa nแบฑm trong cรขn ฤ‘แป‘i ngรขn sรกch Nhร  nฦฐแป›c. Do vแบญy, nguแป“n vแป‘n ฤ‘แป xuแบฅt tฤƒng cho ngรขn hร ng nร y khรดng แบฃnh hฦฐแปŸng tแป›i kแบฟ hoแบกch dแปฑ toรกn thu chi ngรขn sรกch 2024-2025. Phรณ thแปง tฦฐแป›ng, Bแป™ trฦฐแปŸng Tร i chรญnh Hแป“ ฤแปฉc Phแป›c ฤ‘แปc tแป trรฌnh bแป• sung vแป‘n cho Vietcombank, ngร y 23/10. แบขnh: Trung tรขm bรกo chรญ Quแป‘c hแป™i Phรณ thแปง tฦฐแป›ng, Bแป™ trฦฐแปŸng Tร i chรญnh Hแป“ ฤแปฉc Phแป›c ฤ‘แปc tแป trรฌnh bแป• sung vแป‘n cho Vietcombank, ngร y 23/10. แบขnh: Trung tรขm bรกo chรญ Quแป‘c hแป™i Vแป‘n ฤ‘iแปu lแป‡ cแปงa Vietcombank hiแป‡n lร  55.891 tแปท ฤ‘แป“ng, thแบฅp hฦกn nhiแปu so vแป›i VPBank (79.339 tแปท ฤ‘แป“ng), Techcombank (70.450 tแปท ฤ‘แป“ng) vร  khรดng cรณ sแปฑ cรกch biแป‡t lแป›n so vแป›i mแป™t sแป‘ ngรขn hร ng thฦฐฦกng mแบกi cแป• phแบงn nhฦฐ MB (52.871) tแปท ฤ‘แป“ng, ACB (44.667 tแปท ฤ‘แป“ng) vร  SHB (36.629 tแปท ฤ‘แป“ng). Ngoร i ra, viแป‡c tฤƒng vแป‘n nhแบฑm ฤ‘แปƒ ngรขn hร ng nร y ฤ‘รกp แปฉng cรกc tแปท lแป‡ an toร n tแป‘i thiแปƒu. Tรญnh tแป›i cuแป‘i 2023, tแปท lแป‡ an toร n vแป‘n (CAR) cแปงa ngรขn hร ng nร y lร  11,05%, ฤ‘แบฃm bแบฃo quy ฤ‘แป‹nh. Tuy nhiรชn, mแปฉc nร y thแบฅp hฦกn cรกc ngรขn hร ng thฦฐฦกng mแบกi cแป• phแบงn (VPBank, MB lร  12-13%; Techcombank 13-15%...) vร  cรกc nhร  bฤƒng trong khu vแปฑc (Singapore lร  17,1%, Indonesia 23,27%...). Thแบฉm tra nแป™i dung nร y, Chแปง nhiแป‡m แปฆy ban Kinh tแบฟ Vลฉ Hแป“ng Thanh cho rแบฑng ฤ‘แป xuแบฅt tฤƒng vแป‘n cho Vietcombank bแบฃo ฤ‘แบฃm cฦก sแปŸ phรกp lรฝ vร  ฤ‘รบng thแบฉm quyแปn theo quy ฤ‘แป‹nh. Tuy nhiรชn, แปฆy ban Kinh tแบฟ ฤ‘แป nghแป‹ Chรญnh phแปง lแบฅy รฝ kiแบฟn cแปงa cแป• ฤ‘รดng chiแบฟn lฦฐแปฃc nฦฐแป›c ngoร i Ngรขn hร ng Mizuho Corporate Bank - ฤ‘ฦกn vแป‹ nแบฏm 15% vแป‘n ฤ‘iแปu lแป‡ cแปงa Vietcombank. Viแป‡c nร y nhแบฑm thuแบญn lแปฃi trong quรก trรฌnh tฤƒng vแป‘n. Chรญnh phแปง cลฉng cแบงn bแป• sung thรดng tin hiแป‡n trแบกng vแป‘n cแปงa Vietcombank so vแป›i cรกc ngรขn hร ng thฦฐฦกng mแบกi trong hแป‡ thแป‘ng hiแป‡n nay. "Cรณ รฝ kiแบฟn ฤ‘แป nghแป‹ lร m rรต nhแบญn ฤ‘แป‹nh nguแป“n vแป‘n ฤ‘แป xuแบฅt ฤ‘แปƒ tฤƒng vแป‘n ฤ‘iแปu lแป‡ khรดng tรกc ฤ‘แป™ng ฤ‘แบฟn ngรขn sรกch Nhร  nฦฐแป›c", รดng Thanh cho biแบฟt. Trแปฅ sแปŸ Ngรขn hร ng Ngoแบกi thฦฐฦกng Viแป‡t Nam (Vietcombank). แบขnh: VCB Trแปฅ sแปŸ Ngรขn hร ng Ngoแบกi thฦฐฦกng Viแป‡t Nam (Vietcombank). แบขnh: VCB Chแปง nhiแป‡m แปฆy ban Kinh tแบฟ Vลฉ Hแป“ng Thanh ฤ‘แป nghแป‹ Chรญnh phแปง chแป‰ ฤ‘แบกo Ngรขn hร ng Nhร  nฦฐแป›c cรนng cรกc bแป™, ngร nh liรชn quan xแปญ lรฝ phแบงn lแปฃi nhuแบญn cรฒn lแบกi nฤƒm 2022, 2023 (lแบงn lฦฐแปฃt lร  21.680 tแปท vร  25.009 tแปท ฤ‘แป“ng), nhแบฑm tฤƒng nฤƒng lแปฑc tร i chรญnh cho Vietcombank, bรน ฤ‘แบฏp mแปฉc thiแบฟu hแปฅt vแป‘n tแปฑ cรณ, bแบฃo ฤ‘แบฃm an toร n hoแบกt ฤ‘แป™ng. Cฦก quan thแบฉm tra lฦฐu รฝ vแป‘n ฤ‘ฦฐแปฃc bแป• sung cho Vietcombank cแบงn ฤ‘ฦฐแปฃc dรนng ฤ‘แปƒ mแปŸ rแป™ng kinh doanh, cung แปฉng tรญn dแปฅng vแป›i cรกc lฤฉnh vแปฑc, dแปฑ รกn quan trแปng quแป‘c gia quy mรด lแป›n, giแบฃm lรฃi suแบฅt cho vay, cลฉng nhฦฐ ฤ‘แป•i mแป›i mรด hรฌnh quแบฃn trแป‹, chแบฅt lฦฐแปฃng dแป‹ch vแปฅ cแปงa nhร  bฤƒng nร y. "Chรญnh phแปง cแบงn ฤ‘รกnh giรก kแปน tรกc ฤ‘แป™ng viแป‡c bแป• sung vแป‘n Nhร  nฦฐแป›c cho Vietcombank tแป›i phรกt triแปƒn cแปงa ngร nh ngรขn hร ng, hiแป‡u quแบฃ kinh tแบฟ xรฃ hแป™i", แปฆy ban Kinh tแบฟ lฦฐu รฝ. Vietcombank lร  mแป™t trong 4 ngรขn hร ng thฦฐฦกng mแบกi Nhร  nฦฐแป›c, bรชn cแบกnh BIDV, VietinBank vร  Agribank. Ngรขn hร ng nร y do Nhร  nฦฐแป›c sแปŸ hแปฏu 74,8% vแป‘n ฤ‘iแปu lแป‡. Lลฉy kแบฟ nแปญa ฤ‘แบงu nฤƒm nay, lแปฃi nhuแบญn hแปฃp nhแบฅt trฦฐแป›c thuแบฟ cแปงa nhร  bฤƒng nร y ฤ‘แบกt 20.835 tแปท ฤ‘แป“ng, tฤƒng 1,6% so vแป›i cรนng kแปณ 2023. Vแป›i dแปฏ liแป‡u nร y, Vietcombank tiแบฟp tแปฅc ฤ‘แปฉng ฤ‘แบงu toร n hแป‡ thแป‘ng ngรขn hร ng vแป lแปฃi nhuแบญn 6 thรกng ฤ‘แบงu nฤƒm. ฤรขy cลฉng lร  mแปฉc lรฃi nแปญa ฤ‘แบงu nฤƒm cao kแปท lแปฅc cแปงa nhร  bฤƒng nร y. Tรญnh ฤ‘แบฟn 30/6, tแป•ng tร i sแบฃn cแปงa ngรขn hร ng ฤ‘แบกt hฦกn 1,9 triแป‡u tแปท ฤ‘แป“ng, tฤƒng 3,6% so vแป›i cuแป‘i 2023. Trong ฤ‘รณ, cho vay khรกch hร ng gแบงn 1,37 triแป‡u tแปท ฤ‘แป“ng, tฤƒng 7,8%."
ฤoแบกn 1: "ฤรฃ cรณ vร i ฤ‘ฦกn vแป‹ bรกn tรญn chแป‰ carbon cho khรกch ngoแบกi nhฦฐng cรฒn thiแบฟu cฦก sแปŸ phรกp lรฝ ฤ‘แปƒ ฤ‘แบฃm bแบฃo hoแบกt ฤ‘แป™ng ฤ‘ฦฐแปฃc thuแบญn lแปฃi, theo chuyรชn gia. Thรดng tin tแบกi phiรชn tแปa ฤ‘ร m thuแป™c Diแป…n ฤ‘ร n vร  Triแปƒn lรฃm Kinh tแบฟ xanh 2024 (GEFE), รดng ฤแป— Ngแปc Quแปณnh, Tแป•ng thฦฐ kรฝ Hiแป‡p hแป™i Thแป‹ trฦฐแปng Trรกi phiแบฟu Viแป‡t Nam (VBMA), cho biแบฟt thแป‹ trฦฐแปng tรญn chแป‰ carbon tแปฑ nguyแป‡n Viแป‡t Nam ฤ‘รฃ cรณ mแป™t sแป‘ ฤ‘ฦกn vแป‹ bรกn ฤ‘ฦฐแปฃc tรญn chแป‰ carbon cho nhร  ฤ‘แบงu tฦฐ, tแบญp ฤ‘oร n nฦฐแป›c ngoร i. "Hแป ฤ‘ang mua chแปฉng chแป‰ carbon vร  chแปฉng chแป‰ nฤƒng lฦฐแปฃng tรกi tแบกo (REC) trong tiรชu chรญ RE100, tแปฉc 100% nฤƒng lฦฐแปฃng tรกi tแบกo", รดng cho biแบฟt. RE100 lร  sรกng kiแบฟn toร n cแบงu dร nh cho cรกc cรดng ty cam kแบฟt sแปญ dแปฅng 100% ฤ‘iแป‡n nฤƒng tรกi tแบกo, phรกt ฤ‘แป™ng bแปŸi Climate Group vร  CDP vร o 2014. Tแปซ trรกi sang, Marco Gaspari, ฤiแปu phแป‘i viรชn Ngร nh Mรดi trฦฐแปng tแบกi Cฦก quan Hแปฃp tรกc Phรกt triแปƒn Italy (AICS Hร  Nแป™i) vร  รดng ฤแป— Ngแปc Quแปณnh, Tแป•ng Thฦฐ kรฝ Hiแป‡p hแป™i Thแป‹ trฦฐแปng Trรกi phiแบฟu Viแป‡t Nam (VBMA) nรณi tแบกi tแปa ฤ‘ร m. แบขnh: GEFE 2024 Marco Gaspari, ฤiแปu phแป‘i viรชn Ngร nh Mรดi trฦฐแปng tแบกi Cฦก quan Hแปฃp tรกc Phรกt triแปƒn Italy (AICS Hร  Nแป™i) vร  รดng ฤแป— Ngแปc Quแปณnh, Tแป•ng Thฦฐ kรฝ Hiแป‡p hแป™i Thแป‹ trฦฐแปng Trรกi phiแบฟu Viแป‡t Nam (VBMA) chia sแบป tแบกi tแปa ฤ‘ร m. แบขnh: GEFE 2024 Thแป‹ trฦฐแปng carbon gแป“m hai hรฌnh thแปฉc lร  bแบฏt buแป™c vร  tแปฑ nguyแป‡n. ฤแป“ hแปa: Dแปน Tรนng Phรขn biแป‡t cรกc loแบกi thแป‹ trฦฐแปng carbon. ฤแป“ hแปa: Dแปน Tรนng Theo kแบฟ hoแบกch cแปงa chรญnh phแปง, thแป‹ trฦฐแปng bแบฏt buแป™c sแบฝ vแบญn hร nh thแปญ nghiแป‡m vร o giai ฤ‘oแบกn 2025-2028. Vแป›i thแป‹ trฦฐแปng tแปฑ nguyแป‡n, รดng Quแปณnh cho biแบฟt ฤ‘รฃ bแบฏt ฤ‘แบงu hรฌnh thร nh vร  cลฉng biแบฟn ฤ‘แป™ng theo diแป…n biแบฟn xu hฦฐแป›ng chung toร n cแบงu. Chuyรชn gia VBMA cho rแบฑng Viแป‡t Nam ฤ‘รฃ cรณ chรญnh sรกch chung ฤ‘แปƒ thแปฑc hiแป‡n cam kแบฟt Net Zero vร o 2050, nhฦฐng vแบซn chฦฐa cรณ phรกp lรฝ ฤ‘แบงy ฤ‘แปง vร  rรต rร ng cho thแป‹ trฦฐแปng carbon tแปฑ nguyแป‡n. "Nhแปฏng ngฦฐแปi bรกn tแบกi Viแป‡t Nam sau giao dแป‹ch khรดng biแบฟt hแบกch toรกn vร o ฤ‘รขu, nแป™p thuแบฟ thแบฟ nร o. Mแป™t sแป‘ chแปn phฦฐฦกng รกn tรญnh vร o thu nhแบญp bแบฅt thฦฐแปng ฤ‘แปƒ khai thuแบฟ", รดng vรญ dแปฅ. ร”ng Nguyแป…n Thร nh Nghiแป‡p, Luแบญt sฦฐ thร nh viรชn cรดng ty luแบญt VTN vร  Cแป™ng sแปฑ chแป‰ ra viแป‡c chฦฐa cรณ quy ฤ‘แป‹nh xรกc ฤ‘แป‹nh tรญnh chแบฅt tร i sแบฃn cแปงa tรญn chแป‰ carbon. "Chรบng cรณ ฤ‘ฦฐแปฃc xem lร  tร i sแบฃn bรฌnh thฦฐแปng, ฤ‘ฦฐแปฃc thแบฟ chแบฅp hay giao dแป‹ch thแบฟ nร o chฦฐa cรณ ฤ‘แปง cฤƒn cแปฉ phรกp lรฝ", รดng nรณi. Ngoร i ra, quy trรฌnh MRV (ฤ‘o lฦฐแปng, bรกo cรกo vร  kiแปƒm chแปฉng) cลฉng cแบงn quy ฤ‘แป‹nh, hฦฐแป›ng dแบซn rรต. Theo รดng, ngoร i cรกc cฦก quan quแบฃn lรฝ, khu vแปฑc tฦฐ nhรขn cลฉng trรดng chแป xem liแป‡u cรณ thแปƒ tham gia hoแบกt ฤ‘แป™ng MRV khรดng. "Trong thแปi gian tแป›i, nแบฟu hoร n thiแป‡n phรกp lรฝ, thแป‹ trฦฐแปng sแบฝ cรณ nhiแปu tiแปm nฤƒng phรกt triแปƒn hฦกn", รดng ฤแป— Ngแปc Quแปณnh dแปฑ bรกo. Ngoร i tรญn chแป‰ carbon, vแป›i tiแปm nฤƒng ฤ‘iแป‡n tรกi tแบกo thแปฉ tฦฐ thแบฟ giแป›i theo McKenzie, รดng cho rแบฑng cรณ thแปƒ khai thรกc viแป‡c vแปซa bรกn tรญn chแป‰ carbon vแปซa bรกn ฤ‘ฦฐแปฃc REC. Theo VBMA, quy mรด thแป‹ trฦฐแปng carbon bแบฏt buแป™c toร n cแบงu ฤ‘แบกt 104 tแปท USD nฤƒm ngoรกi, tฤƒng 100% so vแป›i nฤƒm 2020. Trong khi, thแป‹ trฦฐแปng tแปฑ nguyแป‡n ฤ‘รฃ thu hแบนp cรฒn 800 triแป‡u USD, giแบฃm hai phแบงn ba so vแป›i 2021 do mแป™t sแป‘ vแปฅ bรช bแป‘i liรชn quan ฤ‘แบฟn "giแบทt xanh" (green washing) lร m แบฃnh hฦฐแปŸng ฤ‘แบฟn uy tรญn, niแปm tin. Theo dรตi biแบฟn ฤ‘แป™ng cแปงa thแป‹ trฦฐแปng thแบฟ giแป›i giรบp cรกc bรชn tham gia trong thแป‹ trฦฐแปng carbon tแปฑ nguyแป‡n cรฒn sฦก khai cแปงa Viแป‡t Nam rรบt kinh nghiแป‡m vร  tรฌm ra hฦฐแป›ng ฤ‘i. Marco Gaspari, ฤiแปu phแป‘i viรชn Ngร nh Mรดi trฦฐแปng tแบกi Cฦก quan Hแปฃp tรกc Phรกt triแปƒn Italy (AICS) vฤƒn phรฒng Hร  Nแป™i, dแปฑ bรกo ngฦฐแปi mua sแบฝ cแบงn tรฌm kiแบฟm cรกc bรชn bรกn tรญn chแป‰ cรณ hแป‡ thแป‘ng quแบฃn trแป‹ tแป‘t vร  rรต rร ng. ร”ng cho rแบฑng ngฦฐแปi mua ฤ‘ang thiรชn vแป chuแป™ng mua tรญn chแป‰ lฤฉnh vแปฑc giแบฃm phรกt thแบฃi sแบฃn xuแบฅt vรฌ dแป… chแปฉng minh. Mแป™t loแบกi ฤ‘ฦฐแปฃc quan tรขm khรกc lร  "carbon xanh dฦฐฦกng" (blue carbon) - tรญn chแป‰ tแบกo ra tแปซ cรกc dแปฑ รกn hแบฅp thแปฅ carbon cแปงa rแปซng ngแบญp mแบทn, ฤ‘แบงm lแบงy bรฃi triแปu vร  cแป biแปƒn. ร”ng chแป‰ ra Viแป‡t Nam triแปƒn vแปng vแป›i 200.000 ha rแปซng ngแบญp mแบทn, cรณ thแปƒ lร m cรกc dแปฑ รกn carbon tฦฐฦกng tแปฑ nhฦฐ แปŸ Honduras. Bร  Thu Nguyแป…n, Quแบฃn lรฝ chรญnh sรกch tแบกi Apanada Management Consultancy, ฤแบกi diแป‡n Viแป‡n Tร i nguyรชn Thแบฟ giแป›i (WRI) khuyแบฟn nghแป‹ cรกc dแปฑ รกn tรญn chแป‰ carbon nรขng cao giรก trแป‹ bแบฑng cรกch quan tรขm ฤ‘แบฟn tรญnh bรฌnh ฤ‘แบณng vร  bao trรนm. Theo ฤ‘รณ, mแปฅc tiรชu khรดng chแป‰ lร  giแบฃm phรกt thแบฃi mร  cรฒn lร  cแบฃi thiแป‡n ฤ‘แปi sแป‘ng ngฦฐแปi dรขn vร  phรกt triแปƒn bรฌnh ฤ‘แบณng hฦกn "Dแปฑ รกn cแบงn bแบฃo ฤ‘แบฃm cรณ tham vแบฅn cแปงa cแป™ng ฤ‘แป“ng, ฤ‘แบทc biแป‡t lร  phแปฅ nแปฏ vร  cรกc nhรณm yแบฟu thแบฟ, ฤ‘แปƒ tแบกo ra lแปฃi รญch cho cแบฃ cแป™ng ฤ‘แป“ng lแบซn nhร  ฤ‘แบงu tฦฐ", bร  nรณi."
ฤoแบกn 2: "Giรก nhแบซn trฦกn liรชn tแปฅc ฤ‘iแปu chแป‰nh, tฤƒng gแบงn mแป™t triแป‡u ฤ‘แป“ng trong ngร y vร  cรณ nฦกi lรชn sรกt 89 triแป‡u ฤ‘แป“ng mแป™t lฦฐแปฃng. 15h ngร y 23/10, giรก mua bรกn nhแบซn trฦกn ฤ‘ฦฐแปฃc cรกc thฦฐฦกng hiแป‡u kinh doanh ฤ‘iแปu chแป‰nh theo diแป…n biแบฟn ฤ‘i lรชn cแปงa thแบฟ giแป›i. Chiแปu nay, mแป—i ounce vร ng quแป‘c tแบฟ tiแบฟp tแปฅc thiแบฟt lแบญp kแปท lแปฅc mแป›i 2.755 USD. Giรก nhแบซn trฦกn tแบกi Cรดng ty Vร ng bแบกc ฤ‘รก quรฝ Sร i Gรฒn (SJC) cลฉng tฤƒng nแปญa triแป‡u ฤ‘แป“ng so vแป›i ฤ‘แบงu sรกng vร  gแบงn 1 triแป‡u ฤ‘แป“ng so vแป›i cuแป‘i ngร y hรดm qua, lรชn 86,9 - 88,2 triแป‡u ฤ‘แป“ng. Cรดng ty Vร ng bแบกc ฤ‘รก quรฝ Phรบ Nhuแบญn (PNJ) vร  Mi Hแป“ng niรชm yแบฟt giรก nhแบซn trฦกn quanh vรนng 87,4 - 88,4 triแป‡u ฤ‘แป“ng. Cรฒn tแบกi Tแบญp ฤ‘oร n Vร ng bแบกc ฤ‘รก quรฝ DOJI, giรก mua bรกn nhแบซn trฦกn cรนng thแปi ฤ‘iแปƒm thแบญm chรญ lรชn 88 - 88,9 triแป‡u ฤ‘แป“ng mแป™t lฦฐแปฃng. Trฦฐแป›c ฤ‘รณ ฤ‘แบงu ngร y, Cรดng ty Vร ng bแบกc ฤ‘รก quรฝ Sร i Gรฒn (SJC) ฤ‘รฃ tฤƒng 300.000 ฤ‘แป“ng mแป™t lฦฐแปฃng so vแป›i cuแป‘i ngร y hรดm qua, niรชm yแบฟt giรก nhแบซn trฦกn tแบกi 86,3 - 87,6 triแป‡u ฤ‘แป“ng. Biแปƒu giรก mua bรกn nhแบซn trฦกn tแบกi Tแบญp ฤ‘oร n Vร ng bแบกc ฤ‘รก quรฝ DOJI lรบc 9h sรกng lร  87 - 88 triแป‡u ฤ‘แป“ng, tฤƒng 200.000 ฤ‘แป“ng so vแป›i cuแป‘i ngร y hรดm qua. Nhแบซn trฦกn giแปฏ nhแป‹p tฤƒng liรชn tแปฅc trong 10 ngร y qua. So vแป›i giแปฏa thรกng, mแป—i lฦฐแปฃng nhแบซn trฦกn ฤ‘รฃ tฤƒng hฦกn 5 triแป‡u ฤ‘แป“ng. Cรฒn so vแป›i ฤ‘แบงu nฤƒm, nhแบซn trฦกn tฤƒng gแบงn 25 triแป‡u mแป™t lฦฐแปฃng, tฦฐฦกng ฤ‘ฦฐฦกng hiแป‡u suแบฅt 39%. Trong khi giรก vร ng miแบฟng SJC ฤ‘แปฉng yรชn แปŸ vรนng 87 - 89 triแป‡u mแป™t lฦฐแปฃng, do Ngรขn hร ng Nhร  nฦฐแป›c chฦฐa thay ฤ‘แป•i giรก bรกn can thiแป‡p. Thแปi ฤ‘iแปƒm nร y lร  mรนa cฦฐแป›i cuแป‘i nฤƒm vร  nhu cแบงu mua vร ng nhแบซn lร m quร  cฦฐแป›i tฤƒng, song ngฦฐแปi dรขn khรดng dแป… ฤ‘แปƒ mua ฤ‘ฦฐแปฃc mแบทt hร ng nร y tแบกi cรกc thฦฐฦกng hiแป‡u lแป›n. Cรกc thฦฐฦกng hiแป‡u lแป›n nhฦฐ DOJI, PNJ, Bแบฃo Tรญn Minh Chรขu thฦฐแปng xuyรชn trong tรฌnh trแบกng chรกy hร ng. Khรกch lแบป chแป‰ may mแบฏn mua ฤ‘ฦฐแปฃc sแป‘ lฦฐแปฃng รญt nแบฟu cแปญa hร ng vแปซa cรณ khรกch bรกn ra. Cรฒn tแบกi SJC, cรกc chi nhรกnh giแป›i hแบกn lฦฐแปฃng mua tแป‘i ฤ‘a 5 phรขn ฤ‘แบฟn 1 chแป‰ mแป—i ngฦฐแปi. Trรชn thแป‹ trฦฐแปng quแป‘c tแบฟ, mแป—i ounce vร ng trong 5 ngร y qua tฤƒng mแบกnh hฦกn 100 USD. Kim loแบกi quรฝ cรณ thแปi ฤ‘iแปƒm lรชn mแปฉc kแปท lแปฅc gแบงn 2.750 USD, trฦฐแป›c khi lรนi vแป vรนng 2.738 USD vร o sรกng nay. Quy ฤ‘แป•i theo tแปท giรก bรกn Vietcombank, giรก vร ng trong nฦฐแป›c chรชnh lแป‡ch 3,5-5 triแป‡u ฤ‘แป“ng mแป™t lฦฐแปฃng so vแป›i thแบฟ giแป›i. Theo dแปฑ bรกo cแปงa cรกc nhร  bฤƒng hร ng ฤ‘แบงu thแบฟ giแป›i, giรก vร ng thแบฟ giแป›i cรณ thแปƒ lรชn 3.000 USD mแป™t ounce vร o nฤƒm sau. Cรกc chuyรชn gia khuyแบฟn nghแป‹ nhร  ฤ‘แบงu tฦฐ phรขn bแป• tแปท trแปng nhแป danh mแปฅc vร o kรชnh trรบ แบฉn nร y, ฤ‘แบทc biแป‡t trong bแป‘i cแบฃnh kim loแบกi quรฝ ฤ‘รฃ tฤƒng mแบกnh thแปi gian qua."
ฤoแบกn 3: "Nhu cแบงu trรบ แบฉn khi cฤƒng thแบณng ฤ‘แป‹a chรญnh trแป‹ leo thang kรฉo giรก vร ng lรชn mแปฉc ฤ‘แป‰nh mแป›i, tแบกi 2.748 USD mแป™t ounce. Chแป‘t phiรชn giao dแป‹ch 22/10, giรก vร ng thแบฟ giแป›i giao ngay tฤƒng gแบงn 30 USD lรชn 2.748 USD mแป™t ounce. ฤรขy lร  mแปฉc cao kแปท lแปฅc mแป›i cแปงa kim loแบกi quรฝ. "Cฤƒng thแบณng ฤ‘แป‹a chรญnh trแป‹ vแบซn lร  nguyรชn nhรขn chแปง yแบฟu. Hai tuแบงn nแปฏa sแบฝ diแป…n ra bแบงu cแปญ Tแป•ng thแป‘ng Mแปน vร  cuแป™c ฤ‘ua vแบซn rแบฅt sรกt sao. Bแบฅt แป•n chรญnh trแป‹ ฤ‘ang kรฉo nhu cแบงu trรบ แบฉn lรชn cao", Peter A. Grant - Phรณ giรกm ฤ‘แป‘c Zaner Metals nhแบญn ฤ‘แป‹nh trรชn Reuters. Giรก vร ng thแบฟ giแป›i ฤ‘แบฃo chiแปu tฤƒng mแบกnh trong phiรชn 22/10. ฤแป“ thแป‹: Kitco Giรก vร ng thแบฟ giแป›i ฤ‘แบฃo chiแปu tฤƒng mแบกnh trong phiรชn 22/10. ฤแป“ thแป‹: Kitco Cuแป™c thฤƒm dรฒ mแป›i nhแบฅt cแปงa Reuters/Ipsos cho thแบฅy tแปท lแป‡ แปงng hแป™ Phรณ tแป•ng thแป‘ng Kamala Harris hiแป‡n lร  46%, nhแป‰nh hฦกn so vแป›i 43% cแปงa cแปฑu Tแป•ng thแป‘ng Donald Trump. "Sแปฑ sรกt sao nร y ฤ‘ang tแบกo nรชn tรฌnh trแบกng thiแบฟu chแบฏc chแบฏn. Mรดi trฦฐแปng nร y cรณ lแปฃi cho vร ng", cรกc nhร  phรขn tรญch tแบกi ngรขn hร ng BNP Paribas nhแบญn ฤ‘แป‹nh. Grant dแปฑ bรกo nแบฟu cฤƒng thแบณng tแบกi Trung ฤรดng tiแบฟp tแปฅc tฤƒng nhiแป‡t, giรก cรณ thแปƒ lรชn 3.000 USD cuแป‘i nฤƒm nay. Tแปซ ฤ‘แบงu nฤƒm, giรก ฤ‘รฃ tฤƒng 33% vร  liรชn tiแบฟp lแบญp ฤ‘แป‰nh mแป›i. Mแป™t yแบฟu tแป‘ khรกc ฤ‘ang hแป— trแปฃ kim loแบกi quรฝ lร  lร n sรณng giแบฃm lรฃi suแบฅt cแปงa cรกc ngรขn hร ng trung ฦฐฦกng lแป›n trรชn toร n cแบงu. Mแปน, chรขu ร‚u, Trung Quแป‘c cรนng hร ng loแบกt nแปn kinh tแบฟ khรกc ฤ‘รฃ giแบฃm lรฃi suแบฅt nฤƒm nay ฤ‘แปƒ hแป— trแปฃ nแปn kinh tแบฟ. Trong khi ฤ‘รณ, tแบกi Wall Street, cรกc chแป‰ sแป‘ chรญnh gแบงn nhฦฐ ฤ‘แปฉng yรชn. Nhร  ฤ‘แบงu tฦฐ hiแป‡n theo dรตi lแปฃi suแบฅt trรกi phiแบฟu chรญnh phแปง Mแปน vร  chแป ฤ‘รกnh giรก thรชm bรกo cรกo tร i chรญnh cแปงa cรกc doanh nghiแป‡p. Ngoร i vร ng, cรกc kim loแบกi quรฝ khรกc cลฉng tฤƒng giรก. Bแบกc lแบญp ฤ‘แป‰nh 12 nฤƒm, khi tฤƒng 3,2% lรชn gแบงn 35 USD mแป™t ounce. Han Tan - chiแบฟn lฦฐแปฃc gia thแป‹ trฦฐแปng tแบกi Exinity Group dแปฑ bรกo bแบกc vฦฐแปฃt mแป‘c 35 USD trฦฐแป›c khi cuแป™c bแบงu cแปญ diแป…n ra. Bแบกch kim ฤ‘แบฏt thรชm 2,8% lรชn 1.031 USD mแป™t ounce. Palladium tฤƒng 2,9% lรชn 1.081 USD."
'''},
    {"role": "user", "content": '''Hรฃy trแบฃ lแปi cรขu hแปi sau dแปฑa vร o ฤ‘oแบกn ngแปฏ cแบฃnh ฤ‘ฦฐแปฃc cung cแบฅp. Cรขu trแบฃ lแปi phแบฃi cรณ thฦฐa gแปญi rรต rร ng, xฦฐng lร  em vร  kรญnh thฦฐa quรฝ khรกch.\nCรขu hแปi: giรก nhแบซn trฦกn hรดm nay lร  bao nhiรชu?'''}]
tokenized_chat = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt")

outputs = model.generate(tokenized_chat, max_new_tokens=512) 
print(tokenizer.decode(outputs[0]))

# Em xin thรดng bรกo rแบฑng giรก nhแบซn trฦกn hรดm nay dao ฤ‘แป™ng tแปซ 86,9 ฤ‘แบฟn 88,2 triแป‡u ฤ‘แป“ng mแป™t ounce, tรนy thuแป™c vร o tแปซng thฦฐฦกng hiแป‡u.

You can customize the prompt before the answer to get a response that suits your needs. You can also add information about this bot's persona in the system prompt.

3. Function Calling task

In this task, we are following the Function Calling template from Glaive AI: glaiveai/glaive-function-calling-v2.


messages =  [
    {"role": "system", "content": '''Bแบกn lร  mแป™t trแปฃ lรฝ hแปฏu รญch vแป›i khแบฃ nฤƒng truy cแบญp vร o cรกc hร m sau. Hรฃy sแปญ dแปฅng chรบng nแบฟu cแบงn -
{
    "name": "weather_forecast",
    "description": "Cung cแบฅp cแบญp nhแบญt vร  dแปฑ bรกo thแปi tiแบฟt cho cรกc ฤ‘แป‹a ฤ‘iแปƒm cแปฅ thแปƒ, bao gแป“m nhiแป‡t ฤ‘แป™, ฤ‘แป™ แบฉm vร  tรฌnh trแบกng thแปi tiแบฟt. Vรญ dแปฅ: thแปi tiแบฟt hรดm nay, dแปฑ bรกo thแปi tiแบฟt แปŸ Hร  Nแป™i, nhiแป‡t ฤ‘แป™ tแบกi ฤร  Nแบตng, v.v.",
    "parameters": {
        "properties": {
            "__arg1": {
                "description": "__arg1",
                "type": "string"
            }
        },
        "required": [
            "__arg1"
        ],
        "type": "object"
    }
},
{
    "name": "news_update",
    "description": "Cung cแบฅp cรกc bร i bรกo vร  cแบญp nhแบญt tin tแปฉc mแป›i nhแบฅt trรชn nhiแปu lฤฉnh vแปฑc nhฦฐ chรญnh trแป‹, cรดng nghแป‡, thแปƒ thao vร  giแบฃi trรญ. Vรญ dแปฅ: tin tแปฉc hรดm nay, cแบญp nhแบญt thแปƒ thao, tin cรดng nghแป‡ mแป›i nhแบฅt, v.v.",
    "parameters": {
        "properties": {
            "__arg1": {
                "description": "__arg1",
                "type": "string"
            }
        },
        "required": [
            "__arg1"
        ],
        "type": "object"
    }
},
{
    "name": "recipe_search",
    "description": "Tรฌm kiแบฟm vร  gแปฃi รฝ cรดng thแปฉc nแบฅu ฤƒn dแปฑa trรชn nguyรชn liแป‡u hoแบทc sแปŸ thรญch dinh dฦฐแปกng. Vรญ dแปฅ: cรดng thแปฉc mรณn ฤƒn vแป›i gร , mรณn chay, ฤƒn kiรชng, v.v.",
    "parameters": {
        "properties": {
            "__arg1": {
                "description": "__arg1",
                "type": "string"
            }
        },
        "required": [
            "__arg1"
        ],
        "type": "object"
    }
},
{
    "name": "movie_recommendation",
    "description": "Cung cแบฅp gแปฃi รฝ phim dแปฑa trรชn thแปƒ loแบกi, tรขm trแบกng hoแบทc tiรชu ฤ‘แป cแปฅ thแปƒ. Vรญ dแปฅ: phim hร i hay, phim hร nh ฤ‘แป™ng mแป›i, gแปฃi รฝ phim cho tแป‘i nay, v.v.",
    "parameters": {
        "properties": {
            "__arg1": {
                "description": "__arg1",
                "type": "string"
            }
        },
        "required": [
            "__arg1"
        ],
        "type": "object"
    }
},
{
    "name": "fitness_advice",
    "description": "Cung cแบฅp mแบนo vร  bร i tแบญp cho sแปฉc khแปe vร  thแปƒ dแปฅc dแปฑa trรชn mแปฅc tiรชu cแปงa ngฦฐแปi dรนng. Vรญ dแปฅ: bร i tแบญp giแบฃm cรขn, lแป‹ch tแบญp gym cho ngฦฐแปi mแป›i, lแปi khuyรชn vแป dinh dฦฐแปกng, v.v.",
    "parameters": {
        "properties": {
            "__arg1": {
                "description": "__arg1",
                "type": "string"
            }
        },
        "required": [
            "__arg1"
        ],
        "type": "object"
    }
},
{
    "name": "travel_planner",
    "description": "Hแป— trแปฃ lแบญp kแบฟ hoแบกch du lแป‹ch, bao gแป“m gแปฃi รฝ lแป‹ch trรฌnh, mแบนo ฤ‘แบทt vรฉ vร  thรดng tin vแป ฤ‘iแปƒm ฤ‘แบฟn. Vรญ dแปฅ: lรชn kแบฟ hoแบกch du lแป‹ch ฤร  Nแบตng, ฤ‘แป‹a ฤ‘iแปƒm tham quan แปŸ Nha Trang, mแบนo du lแป‹ch Nhแบญt Bแบฃn, v.v.",
    "parameters": {
        "properties": {
            "__arg1": {
                "description": "__arg1",
                "type": "string"
            }
        },
        "required": [
            "__arg1"
        ],
        "type": "object"
    }
}'''},
    {"role": "user", "content": "hรดm nay cรณ tin tแปฉc gรฌ vแป รด nhiแป…m khรดng khรญ"}]
tokenized_chat = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt")

outputs = model.generate(tokenized_chat, max_new_tokens=128) 
print(tokenizer.decode(outputs[0]))

# <functioncall> {"name": "news_update", "arguments": {"__arg1": "รด nhiแป…m khรดng khรญ"}}

4. Question Rewriting task


messages =  [
    {"role": "system", "content": '''Bแบกn lร  mแป™t trแปฃ lรญ Tiแบฟng Viแป‡t nhiแป‡t tรฌnh vร  trung thแปฑc. Hรฃy luรดn trแบฃ lแปi mแป™t cรกch hแปฏu รญch nhแบฅt cรณ thแปƒ, ฤ‘แป“ng thแปi giแปฏ an toร n.\nNแบฟu mแป™t cรขu hแปi khรดng cรณ รฝ nghฤฉa hoแบทc khรดng hแปฃp lรฝ vแป mแบทt thรดng tin, hรฃy giแบฃi thรญch tแบกi sao thay vรฌ trแบฃ lแปi mแป™t ฤ‘iแปu gรฌ ฤ‘รณ khรดng chรญnh xรกc, vui lรฒng khรดng chia sแบป thรดng tin sai lแป‡ch.
Context:
USER: Concert "Anh trai vฦฐแปฃt ngร n chรดng gai" diแป…n ra แปŸ ฤ‘รขu?
ASSISTANT: ฤรชm concert Anh trai vฦฐแปฃt ngร n chรดng gai diแป…n ra vร o tแป‘i 19-10, tแบกi cรดng viรชn bแป sรดng Sร i Gรฒn, TP.HCM vแป›i sแปฑ tham dแปฑ cแปงa khoแบฃng 20.000 khรกn giแบฃ.
USER: Buแป•i biแปƒu diแป…n cรณ bao nhiรชu nghแป‡ sฤฉ?
ASSISTANT: Danh sรกch nghแป‡ sฤฉ gแป“m 17 nghแป‡ sฤฉ: Kay Trแบงn, Jun Phแบกm, Cฦฐแปng Seven, Tแปฑ Long, (S)TRONG Trแปng Hiแบฟu, S.T Sฦกn Thแบกch, BB Trแบงn, Bรนi Cรดng Nam, Rhymastic, Soobin Hoร ng Sฦกn, Binz, Quแป‘c Thiรชn, Thanh Duy, Bแบฑng Kiแปu, Tiแบฟn Luแบญt, ฤinh Tiแบฟn ฤแบกt vร  ฤแป— Hoร ng Hiแป‡p.
USER: Chฦฐฦกng trรฌnh phรกt sรณng khi nร o vร  แปŸ ฤ‘รขu?
ASSISTANT: chฦฐฦกng trรฌnh phรกt sรณng tแปซ ngร y 29 thรกng 6 nฤƒm 2024 lรบc 20:00 thแปฉ 7 hร ng tuแบงn trรชn VTV3 vร  cรดng chiแบฟu lรบc 20:30 cรนng ngร y trรชn kรชnh YouTube YeaH1 Show cแปงa nhร  sแบฃn xuแบฅt chฦฐฦกng trรฌnh.'''},
    {"role": "user", "content": '''Dแปฑa vร o ฤ‘oแบกn hแป™i thoแบกi ฤ‘ฦฐแปฃc cung cแบฅp, viแบฟt lแบกi cรขu nรณi cแปงa ngฦฐแปi dรนng sao cho ฤ‘แบงu ฤ‘แปง รฝ nhแบฅt cรณ thแปƒ mร  khรดng bแป‹ sai lแป‡ch thรดng tin.
Cรขu nรณi: Concert nร y cรณ tแป• chแปฉc แปŸ Hร  Nแป™i khรดng?
    '''}]
tokenized_chat = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt")

outputs = model.generate(tokenized_chat, max_new_tokens=512) 
print(tokenizer.decode(outputs[0]))

# Buแป•i hรฒa nhแบกc Anh trai vฦฐแปฃt ngร n chรดng gai cรณ diแป…n ra แปŸ Hร  Nแป™i khรดng?

Modify the parameters "temperature", "top_k", "top_p" to suit your usecase.

Corresponding Author:

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