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:
- Llama-3.2-1B-Instruct-Frog: 131K context length, 1 billion parameters
- Llama-3.2-3B-Instruct-Frog: 131K context length, 3 billion parameters
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 mแปt ngฦฐแปi bแบกn gรกi xinh ฤแบนp. Tรชn cแปงa bแบกn lร Vivi. Hรฃy luรดn xฦฐng lร Vivi, gแปi ngฦฐแปi nรณi lร anh vร trแบฃ lแปi luรดn bแบฏt ฤแบงu 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 ฤฦฐแปฃc gแบทp anh.
messages = [
{"role": "system", "content": "Bแบกn lร mแปt trแปฃ lรญ Tiแบฟng Viแปt nhiแปt tรฌnh vร trung thแปฑc. Hรฃy luรดn trแบฃ lแปi mแปt cรกch hแปฏu รญch nhแบฅt cรณ thแป, ฤแปng thแปi giแปฏ an toร n.\nNแบฟu mแปt cรขu hแปi khรดng cรณ รฝ nghฤฉa hoแบทc khรดng hแปฃp lรฝ vแป mแบทt thรดng tin, hรฃy giแบฃi thรญch tแบกi sao thay vรฌ trแบฃ lแปi mแปt ฤiแปu gรฌ ฤรณ khรดng chรญnh xรกc, vui lรฒng khรดng chia sแบป thรดng tin sai lแปch."},
{"role": "user", "content": "Lร m sao ฤแป chแปฏa bแปnh ฤau ฤแบงu?"}]
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 nhiแปu nguyรชn nhรขn gรขy ฤau ฤแบงu, bao gแปm cฤng thแบณng, thiแบฟu ngแปง, mแบฅt nฦฐแปc, chแปฉng ฤau ฤแบงu thฦฐแปng xuyรชn, ฤau ฤแบงu do chแปฉng ฤau nแปญa ฤแบงu, vร nhiแปu hฦกn nแปฏa. Dฦฐแปi ฤรขy lร mแปt sแป cรกch ฤแป giแบฃm ฤau ฤแบงu:
# 1. Nghแป ngฦกi: Nแบฟu ฤau ฤแบงu lร do cฤng thแบณng hoแบทc thiแบฟu ngแปง, hรฃy nghแป ngฦกi vร ngแปง ฤแปง giแบฅc.
# 2. Massage: Massage vรนng cแป vร vai cรณ thแป giรบp giแบฃm ฤau ฤแบงu.
# 3. Uแปng nฦฐแปc: ฤแบฃm bแบฃo bแบกn uแปng ฤแปง nฦฐแปc ฤแป giแปฏ cho cฦก thแป luรดn ฤฦฐแปฃc cung cแบฅp ฤแปง nฦฐแปc.
# 4. Sแปญ dแปฅng thuแปc giแบฃm ฤau: Nแบฟu ฤau ฤแบงu khรดng giแบฃm sau khi nghแป ngฦกi vร uแปng nฦฐแปc, bแบกn cรณ thแป sแปญ dแปฅng thuแปc giแบฃm ฤau nhฦฐ paracetamol hoแบทc ibuprofen.
# 5. Sแปญ dแปฅng bฤng lแบกnh: Nแบฟu ฤau ฤแบงu do chแปฉng ฤau nแปญa ฤแบงu, bแบกn cรณ thแป sแปญ dแปฅng bฤng lแบกnh ฤแป giแบฃm ฤau.
# 6. Thay ฤแปi chแบฟ ฤแป ฤn uแปng: Nแบฟu ฤau ฤแบงu liรชn quan ฤแบฟn chแบฟ ฤแป ฤn uแปng cแปงa bแบกn, hรฃy thay ฤแปi chแบฟ ฤแป ฤn uแปng ฤแป giแบฃm ฤau ฤแบงu.
# Nแบฟu ฤau ฤแบงu kรฉo dร i hoแบทc trแป nรชn nghiรชm trแปng hฦกn, bแบกn nรชn tรฌm kiแบฟm sแปฑ giรบp ฤแปก y tแบฟ ฤแป ฤฦฐแปฃc chแบฉn ฤoรกn vร ฤiแปu trแป ฤรบng cรกch.
2. Summarization task
Focused Answer
messages = [
{"role": "system", "content": '''Bแบกn lร mแปt trแปฃ lรญ Tiแบฟng Viแปt nhiแปt tรฌnh vร trung thแปฑc. Hรฃy luรดn trแบฃ lแปi mแปt cรกch hแปฏu รญch nhแบฅt cรณ thแป, ฤแปng thแปi giแปฏ an toร n.
Nแบฟu mแปt cรขu hแปi khรดng cรณ รฝ nghฤฉa hoแบทc khรดng hแปฃp lรฝ vแป mแบทt thรดng tin, hรฃy giแบฃi thรญch tแบกi sao thay vรฌ trแบฃ lแปi mแปt ฤiแปu gรฌ ฤรณ khรดng chรญnh xรกc, vui lรฒng khรดng chia sแบป thรดng tin sai lแปch.
Context:
ฤoแบกn 0: "Chรญnh phแปง ฤแป xuแบฅt bแป sung gแบงn 20.700 tแปท ฤแปng vแปn ฤiแปu lแป cho Ngรขn hร ng Ngoแบกi thฦฐฦกng Viแปt Nam (Vietcombank) tแปซ cแป tแปฉc bแบฑng cแป phiแบฟu ฤฦฐแปฃc chia cแปงa cแป ฤรดng Nhร nฦฐแปc. Chiแปu 23/10, thแปซa แปงy quyแปn Chรญnh phแปง, Phรณ thแปง tฦฐแปng, Bแป trฦฐแปng Tร i chรญnh Hแป ฤแปฉc Phแปc trรฌnh Quแปc hแปi vแป bแป sung vแปn Nhร nฦฐแปc tแบกi Ngรขn hร ng Ngoแบกi Thฦฐฦกng Viแปt Nam (Vietcombank). Theo ฤรณ, Chรญnh phแปง ฤแป nghแป tฤng vแปn ฤiแปu lแป cho ngรขn hร ng nร y gแบงn 20.700 tแปท ฤแปng tแปซ cแป tแปฉc bแบฑng cแป phiแบฟu ฤฦฐแปฃc chia cแปงa cแป ฤรดng Nhร nฦฐแปc. Sแป tiแปn nร y lแบฅy tแปซ nguแปn lแปฃi nhuแบญn cรฒn lแบกi lลฉy kแบฟ ฤแบฟn hแบฟt nฤm 2018 vร lรฃi cรฒn lแบกi nฤm 2021. Vแปn ฤiแปu lแป dแปฑ kiแบฟn rรณt thรชm cho Vietcombank gแบงn bแบฑng lแปฃi nhuแบญn hแปฃp nhแบฅt trฦฐแปc thuแบฟ nแปญa ฤแบงu nฤm nay cแปงa nhร bฤng nร y. Viแปc bแป sung vแปn cho "รดng lแปn" ngรขn hร ng quแปc doanh ฤฦฐแปฃc Phรณ thแปง tฦฐแปng nhแบฅn mแบกnh lร cแบฅp thiแบฟt ฤแป duy trรฌ tแปท lแป vแปn gรณp Nhร nฦฐแปc, phรน hแปฃp chiแบฟn lฦฐแปฃc phรกt triแปn kinh tแบฟ xรฃ hแปi, tแบกo nguแปn lแปฑc hแป trแปฃ ngรขn hร ng yแบฟu kรฉm. Phรณ thแปง tฦฐแปng cho biแบฟt, phแบงn lแปฃi nhuแบญn cรฒn lแบกi lลฉy kแบฟ hแบฟt nฤm 2018 vร lรฃi cรฒn lแบกi 2021 hiแปn ฤฦฐแปฃc hแบกch toรกn theo dรตi tแบกi VCB, chฦฐa nแบฑm trong cรขn ฤแปi ngรขn sรกch Nhร nฦฐแปc. Do vแบญy, nguแปn vแปn ฤแป xuแบฅt tฤng cho ngรขn hร ng nร y khรดng แบฃnh hฦฐแปng tแปi kแบฟ hoแบกch dแปฑ toรกn thu chi ngรขn sรกch 2024-2025. Phรณ thแปง tฦฐแปng, Bแป trฦฐแปng Tร i chรญnh Hแป ฤแปฉc Phแปc ฤแปc tแป trรฌnh bแป sung vแปn cho Vietcombank, ngร y 23/10. แบขnh: Trung tรขm bรกo chรญ Quแปc hแปi Phรณ thแปง tฦฐแปng, Bแป trฦฐแปng Tร i chรญnh Hแป ฤแปฉc Phแปc ฤแปc tแป trรฌnh bแป sung vแปn cho Vietcombank, ngร y 23/10. แบขnh: Trung tรขm bรกo chรญ Quแปc hแปi Vแปn ฤiแปu lแป cแปงa Vietcombank hiแปn lร 55.891 tแปท ฤแปng, thแบฅp hฦกn nhiแปu so vแปi VPBank (79.339 tแปท ฤแปng), Techcombank (70.450 tแปท ฤแปng) vร khรดng cรณ sแปฑ cรกch biแปt lแปn so vแปi mแปt sแป ngรขn hร ng thฦฐฦกng mแบกi cแป phแบงn nhฦฐ MB (52.871) tแปท ฤแปng, ACB (44.667 tแปท ฤแปng) vร SHB (36.629 tแปท ฤแปng). Ngoร i ra, viแปc tฤng vแปn nhแบฑm ฤแป ngรขn hร ng nร y ฤรกp แปฉng cรกc tแปท lแป an toร n tแปi thiแปu. Tรญnh tแปi cuแปi 2023, tแปท lแป an toร n vแปn (CAR) cแปงa ngรขn hร ng nร y lร 11,05%, ฤแบฃm bแบฃo quy ฤแปnh. 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 bฤng trong khu vแปฑc (Singapore lร 17,1%, Indonesia 23,27%...). Thแบฉm tra nแปi dung nร y, Chแปง nhiแปm แปฆy ban Kinh tแบฟ Vลฉ Hแปng Thanh cho rแบฑng ฤแป xuแบฅt tฤng vแปn cho Vietcombank bแบฃo ฤแบฃm cฦก sแป phรกp lรฝ vร ฤรบng thแบฉm quyแปn theo quy ฤแปnh. Tuy nhiรชn, แปฆy ban Kinh tแบฟ ฤแป nghแป Chรญnh phแปง lแบฅy รฝ kiแบฟn cแปงa cแป ฤรดng chiแบฟn lฦฐแปฃc nฦฐแปc ngoร i Ngรขn hร ng Mizuho Corporate Bank - ฤฦกn vแป nแบฏm 15% vแปn ฤiแปu lแป cแปงa Vietcombank. Viแปc nร y nhแบฑm thuแบญn lแปฃi trong quรก trรฌnh tฤng vแปn. Chรญnh phแปง cลฉng cแบงn bแป sung thรดng tin hiแปn trแบกng vแปn cแปงa Vietcombank so vแปi cรกc ngรขn hร ng thฦฐฦกng mแบกi trong hแป thแปng hiแปn nay. "Cรณ รฝ kiแบฟn ฤแป nghแป lร m rรต nhแบญn ฤแปnh nguแปn vแปn ฤแป xuแบฅt ฤแป tฤng vแปn ฤiแปu lแป khรดng tรกc ฤแปng ฤแบฟn ngรขn sรกch Nhร nฦฐแปc", รดng Thanh cho biแบฟt. Trแปฅ sแป Ngรขn hร ng Ngoแบกi thฦฐฦกng Viแปt Nam (Vietcombank). แบขnh: VCB Trแปฅ sแป Ngรขn hร ng Ngoแบกi thฦฐฦกng Viแปt Nam (Vietcombank). แบขnh: VCB Chแปง nhiแปm แปฆy ban Kinh tแบฟ Vลฉ Hแปng Thanh ฤแป nghแป Chรญnh phแปง chแป ฤแบกo Ngรขn hร ng Nhร nฦฐแปc cรนng cรกc bแป, ngร nh liรชn quan xแปญ lรฝ phแบงn lแปฃi nhuแบญn cรฒn lแบกi nฤm 2022, 2023 (lแบงn lฦฐแปฃt lร 21.680 tแปท vร 25.009 tแปท ฤแปng), nhแบฑm tฤng nฤng lแปฑc tร i chรญnh cho Vietcombank, bรน ฤแบฏp mแปฉc thiแบฟu hแปฅt vแปn tแปฑ cรณ, bแบฃo ฤแบฃm an toร n hoแบกt ฤแปng. Cฦก quan thแบฉm tra lฦฐu รฝ vแปn ฤฦฐแปฃc bแป sung cho Vietcombank cแบงn ฤฦฐแปฃc dรนng ฤแป mแป rแปng kinh doanh, cung แปฉng tรญn dแปฅng vแปi cรกc lฤฉnh vแปฑc, dแปฑ รกn quan trแปng quแปc gia quy mรด lแปn, giแบฃm lรฃi suแบฅt cho vay, cลฉng nhฦฐ ฤแปi mแปi mรด hรฌnh quแบฃn trแป, chแบฅt lฦฐแปฃng dแปch vแปฅ cแปงa nhร bฤng nร y. "Chรญnh phแปง cแบงn ฤรกnh giรก kแปน tรกc ฤแปng viแปc bแป sung vแปn Nhร nฦฐแปc cho Vietcombank tแปi phรกt triแปn cแปงa ngร nh ngรขn hร ng, hiแปu quแบฃ kinh tแบฟ xรฃ hแปi", แปฆy ban Kinh tแบฟ lฦฐu รฝ. Vietcombank lร mแปt trong 4 ngรขn hร ng thฦฐฦกng mแบกi Nhร nฦฐแปc, bรชn cแบกnh BIDV, VietinBank vร Agribank. Ngรขn hร ng nร y do Nhร nฦฐแปc sแป hแปฏu 74,8% vแปn ฤiแปu lแป. Lลฉy kแบฟ nแปญa ฤแบงu nฤm nay, lแปฃi nhuแบญn hแปฃp nhแบฅt trฦฐแปc thuแบฟ cแปงa nhร bฤng nร y ฤแบกt 20.835 tแปท ฤแปng, tฤng 1,6% so vแปi cรนng kแปณ 2023. Vแปi dแปฏ liแปu nร y, Vietcombank tiแบฟp tแปฅc ฤแปฉng ฤแบงu toร n hแป thแปng ngรขn hร ng vแป lแปฃi nhuแบญn 6 thรกng ฤแบงu nฤm. ฤรขy cลฉng lร mแปฉc lรฃi nแปญa ฤแบงu nฤm cao kแปท lแปฅc cแปงa nhร bฤng nร y. Tรญnh ฤแบฟn 30/6, tแปng tร i sแบฃn cแปงa ngรขn hร ng ฤแบกt hฦกn 1,9 triแปu tแปท ฤแปng, tฤng 3,6% so vแปi cuแปi 2023. Trong ฤรณ, cho vay khรกch hร ng gแบงn 1,37 triแปu tแปท ฤแปng, tฤng 7,8%."
ฤoแบกn 1: "ฤรฃ cรณ vร i ฤฦกn vแป bรกn tรญn chแป carbon cho khรกch ngoแบกi nhฦฐng cรฒn thiแบฟu cฦก sแป phรกp lรฝ ฤแป ฤแบฃm bแบฃo hoแบกt ฤแปng ฤฦฐแปฃc thuแบญn lแปฃi, theo chuyรชn gia. Thรดng tin tแบกi phiรชn tแปa ฤร m thuแปc Diแป
n ฤร n vร Triแปn lรฃm Kinh tแบฟ xanh 2024 (GEFE), รดng ฤแป Ngแปc Quแปณnh, Tแปng thฦฐ kรฝ Hiแปp hแปi Thแป trฦฐแปng Trรกi phiแบฟu Viแปt Nam (VBMA), cho biแบฟt thแป trฦฐแปng tรญn chแป carbon tแปฑ nguyแปn Viแปt Nam ฤรฃ cรณ mแปt sแป ฤฦกn vแป bรกn ฤฦฐแปฃc tรญn chแป carbon cho nhร ฤแบงu tฦฐ, tแบญp ฤoร n nฦฐแปc ngoร i. "Hแป ฤang mua chแปฉng chแป carbon vร chแปฉng chแป nฤng lฦฐแปฃng tรกi tแบกo (REC) trong tiรชu chรญ RE100, tแปฉc 100% nฤng lฦฐแปฃng tรกi tแบกo", รดng cho biแบฟt. RE100 lร sรกng kiแบฟn toร n cแบงu dร nh cho cรกc cรดng ty cam kแบฟt sแปญ dแปฅng 100% ฤiแปn nฤng tรกi tแบกo, phรกt ฤแปng bแปi Climate Group vร CDP vร o 2014. Tแปซ trรกi sang, Marco Gaspari, ฤiแปu phแปi viรชn Ngร nh Mรดi trฦฐแปng tแบกi Cฦก quan Hแปฃp tรกc Phรกt triแปn Italy (AICS Hร Nแปi) vร รดng ฤแป Ngแปc Quแปณnh, Tแปng Thฦฐ kรฝ Hiแปp hแปi Thแป trฦฐแปng Trรกi phiแบฟu Viแปt Nam (VBMA) nรณi tแบกi tแปa ฤร m. แบขnh: GEFE 2024 Marco Gaspari, ฤiแปu phแปi viรชn Ngร nh Mรดi trฦฐแปng tแบกi Cฦก quan Hแปฃp tรกc Phรกt triแปn Italy (AICS Hร Nแปi) vร รดng ฤแป Ngแปc Quแปณnh, Tแปng Thฦฐ kรฝ Hiแปp hแปi Thแป trฦฐแปng Trรกi phiแบฟu Viแปt Nam (VBMA) chia sแบป tแบกi tแปa ฤร m. แบขnh: GEFE 2024 Thแป trฦฐแปng carbon gแปm hai hรฌnh thแปฉc lร bแบฏt buแปc vร tแปฑ nguyแปn. ฤแป hแปa: Dแปน Tรนng Phรขn biแปt cรกc loแบกi thแป trฦฐแปng carbon. ฤแป hแปa: Dแปน Tรนng Theo kแบฟ hoแบกch cแปงa chรญnh phแปง, thแป trฦฐแปng bแบฏt buแปc sแบฝ vแบญn hร nh thแปญ nghiแปm vร o giai ฤoแบกn 2025-2028. Vแปi thแป trฦฐแปng tแปฑ nguyแปn, รดng Quแปณnh cho biแบฟt ฤรฃ bแบฏt ฤแบงu hรฌnh thร nh vร cลฉng biแบฟn ฤแปng theo diแป
n biแบฟn xu hฦฐแปng chung toร n cแบงu. Chuyรชn gia VBMA cho rแบฑng Viแปt Nam ฤรฃ cรณ chรญnh sรกch chung ฤแป thแปฑc hiแปn cam kแบฟt Net Zero vร o 2050, nhฦฐng vแบซn chฦฐa cรณ phรกp lรฝ ฤแบงy ฤแปง vร rรต rร ng cho thแป trฦฐแปng carbon tแปฑ nguyแปn. "Nhแปฏng ngฦฐแปi bรกn tแบกi Viแปt Nam sau giao dแปch khรดng biแบฟt hแบกch toรกn vร o ฤรขu, nแปp thuแบฟ thแบฟ nร o. Mแปt sแป chแปn phฦฐฦกng รกn tรญnh vร o thu nhแบญp bแบฅt thฦฐแปng ฤแป khai thuแบฟ", รดng vรญ dแปฅ. รng Nguyแป
n Thร nh Nghiแปp, Luแบญt sฦฐ thร nh viรชn cรดng ty luแบญt VTN vร Cแปng sแปฑ chแป ra viแปc chฦฐa cรณ quy ฤแปnh xรกc ฤแปnh tรญnh chแบฅt tร i sแบฃn cแปงa tรญn chแป carbon. "Chรบng cรณ ฤฦฐแปฃc xem lร tร i sแบฃn bรฌnh thฦฐแปng, ฤฦฐแปฃc thแบฟ chแบฅp hay giao dแปch thแบฟ nร o chฦฐa cรณ ฤแปง cฤn cแปฉ phรกp lรฝ", รดng nรณi. Ngoร i ra, quy trรฌnh MRV (ฤo lฦฐแปng, bรกo cรกo vร kiแปm chแปฉng) cลฉng cแบงn quy ฤแปnh, hฦฐแปng dแบซn rรต. Theo รดng, ngoร i cรกc cฦก quan quแบฃn lรฝ, khu vแปฑc tฦฐ nhรขn cลฉng trรดng chแป xem liแปu cรณ thแป tham gia hoแบกt ฤแปng MRV khรดng. "Trong thแปi gian tแปi, nแบฟu hoร n thiแปn phรกp lรฝ, thแป trฦฐแปng sแบฝ cรณ nhiแปu tiแปm nฤng phรกt triแปn hฦกn", รดng ฤแป Ngแปc Quแปณnh dแปฑ bรกo. Ngoร i tรญn chแป carbon, vแปi tiแปm nฤng ฤiแปn tรกi tแบกo thแปฉ tฦฐ thแบฟ giแปi theo McKenzie, รดng cho rแบฑng cรณ thแป khai thรกc viแปc vแปซa bรกn tรญn chแป carbon vแปซa bรกn ฤฦฐแปฃc REC. Theo VBMA, quy mรด thแป trฦฐแปng carbon bแบฏt buแปc toร n cแบงu ฤแบกt 104 tแปท USD nฤm ngoรกi, tฤng 100% so vแปi nฤm 2020. Trong khi, thแป trฦฐแปng tแปฑ nguyแปn ฤรฃ thu hแบนp cรฒn 800 triแปu USD, giแบฃm hai phแบงn ba so vแปi 2021 do mแปt sแป vแปฅ bรช bแปi liรชn quan ฤแบฟn "giแบทt xanh" (green washing) lร m แบฃnh hฦฐแปng ฤแบฟn uy tรญn, niแปm tin. Theo dรตi biแบฟn ฤแปng cแปงa thแป trฦฐแปng thแบฟ giแปi giรบp cรกc bรชn tham gia trong thแป trฦฐแปng carbon tแปฑ nguyแปn cรฒn sฦก khai cแปงa Viแปt Nam rรบt kinh nghiแปm vร tรฌm ra hฦฐแปng ฤi. Marco Gaspari, ฤiแปu phแปi viรชn Ngร nh Mรดi trฦฐแปng tแบกi Cฦก quan Hแปฃp tรกc Phรกt triแปn Italy (AICS) vฤn phรฒng Hร Nแปi, dแปฑ bรกo ngฦฐแปi mua sแบฝ cแบงn tรฌm kiแบฟm cรกc bรชn bรกn tรญn chแป cรณ hแป thแปng quแบฃn trแป tแปt vร rรต rร ng. รng cho rแบฑng ngฦฐแปi mua ฤang thiรชn vแป chuแปng mua tรญn chแป lฤฉnh vแปฑc giแบฃm phรกt thแบฃi sแบฃn xuแบฅt vรฌ dแป
chแปฉng minh. Mแปt loแบกi ฤฦฐแปฃc quan tรขm khรกc lร "carbon xanh dฦฐฦกng" (blue carbon) - tรญn chแป tแบกo ra tแปซ cรกc dแปฑ รกn hแบฅp thแปฅ carbon cแปงa rแปซng ngแบญp mแบทn, ฤแบงm lแบงy bรฃi triแปu vร cแป biแปn. รng chแป ra Viแปt Nam triแปn vแปng vแปi 200.000 ha rแปซng ngแบญp mแบทn, cรณ thแป lร m cรกc dแปฑ รกn carbon tฦฐฦกng tแปฑ nhฦฐ แป Honduras. Bร Thu Nguyแป
n, Quแบฃn lรฝ chรญnh sรกch tแบกi Apanada Management Consultancy, ฤแบกi diแปn Viแปn Tร i nguyรชn Thแบฟ giแปi (WRI) khuyแบฟn nghแป cรกc dแปฑ รกn tรญn chแป carbon nรขng cao giรก trแป bแบฑng cรกch quan tรขm ฤแบฟn tรญnh bรฌnh ฤแบณng vร bao trรนm. Theo ฤรณ, mแปฅc tiรชu khรดng chแป lร giแบฃm phรกt thแบฃi mร cรฒn lร cแบฃi thiแปn ฤแปi sแปng ngฦฐแปi dรขn vร phรกt triแปn bรฌnh ฤแบณng hฦกn "Dแปฑ รกn cแบงn bแบฃo ฤแบฃm cรณ tham vแบฅn cแปงa cแปng ฤแปng, ฤแบทc biแปt lร phแปฅ nแปฏ vร cรกc nhรณm yแบฟu thแบฟ, ฤแป tแบกo ra lแปฃi รญch cho cแบฃ cแปng ฤแปng lแบซn nhร ฤแบงu tฦฐ", bร nรณi."
ฤoแบกn 2: "Giรก nhแบซn trฦกn liรชn tแปฅc ฤiแปu chแปnh, tฤng gแบงn mแปt triแปu ฤแปng trong ngร y vร cรณ nฦกi lรชn sรกt 89 triแปu ฤแปng mแปt lฦฐแปฃng. 15h ngร y 23/10, giรก mua bรกn nhแบซn trฦกn ฤฦฐแปฃc cรกc thฦฐฦกng hiแปu kinh doanh ฤiแปu chแปnh theo diแป
n biแบฟn ฤi lรชn cแปงa thแบฟ giแปi. Chiแปu nay, mแปi ounce vร ng quแปc tแบฟ tiแบฟp tแปฅc thiแบฟt lแบญp kแปท lแปฅc mแปi 2.755 USD. Giรก nhแบซn trฦกn tแบกi Cรดng ty Vร ng bแบกc ฤรก quรฝ Sร i Gรฒn (SJC) cลฉng tฤng nแปญa triแปu ฤแปng so vแปi ฤแบงu sรกng vร gแบงn 1 triแปu ฤแปng so vแปi cuแปi ngร y hรดm qua, lรชn 86,9 - 88,2 triแปu ฤแปng. Cรดng ty Vร ng bแบกc ฤรก quรฝ Phรบ Nhuแบญn (PNJ) vร Mi Hแปng niรชm yแบฟt giรก nhแบซn trฦกn quanh vรนng 87,4 - 88,4 triแปu ฤแปng. Cรฒn tแบกi Tแบญp ฤoร n Vร ng bแบกc ฤรก quรฝ DOJI, giรก mua bรกn nhแบซn trฦกn cรนng thแปi ฤiแปm thแบญm chรญ lรชn 88 - 88,9 triแปu ฤแปng mแปt lฦฐแปฃng. Trฦฐแปc ฤรณ ฤแบงu ngร y, Cรดng ty Vร ng bแบกc ฤรก quรฝ Sร i Gรฒn (SJC) ฤรฃ tฤng 300.000 ฤแปng mแปt lฦฐแปฃng so vแปi cuแปi ngร y hรดm qua, niรชm yแบฟt giรก nhแบซn trฦกn tแบกi 86,3 - 87,6 triแปu ฤแปng. Biแปu giรก mua bรกn nhแบซn trฦกn tแบกi Tแบญp ฤoร n Vร ng bแบกc ฤรก quรฝ DOJI lรบc 9h sรกng lร 87 - 88 triแปu ฤแปng, tฤng 200.000 ฤแปng so vแปi cuแปi ngร y hรดm qua. Nhแบซn trฦกn giแปฏ nhแปp tฤng liรชn tแปฅc trong 10 ngร y qua. So vแปi giแปฏa thรกng, mแปi lฦฐแปฃng nhแบซn trฦกn ฤรฃ tฤng hฦกn 5 triแปu ฤแปng. Cรฒn so vแปi ฤแบงu nฤm, nhแบซn trฦกn tฤng gแบงn 25 triแปu mแปt lฦฐแปฃng, tฦฐฦกng ฤฦฐฦกng hiแปu suแบฅt 39%. Trong khi giรก vร ng miแบฟng SJC ฤแปฉng yรชn แป vรนng 87 - 89 triแปu mแปt lฦฐแปฃng, do Ngรขn hร ng Nhร nฦฐแปc chฦฐa thay ฤแปi giรก bรกn can thiแปp. Thแปi ฤiแปm nร y lร mรนa cฦฐแปi cuแปi nฤm vร nhu cแบงu mua vร ng nhแบซn lร m quร cฦฐแปi tฤng, song ngฦฐแปi dรขn khรดng dแป
ฤแป mua ฤฦฐแปฃc mแบทt hร ng nร y tแบกi cรกc thฦฐฦกng hiแปu lแปn. Cรกc thฦฐฦกng hiแปu lแปn nhฦฐ DOJI, PNJ, Bแบฃo Tรญn Minh Chรขu thฦฐแปng xuyรชn trong tรฌnh trแบกng chรกy hร ng. Khรกch lแบป chแป may mแบฏn mua ฤฦฐแปฃc sแป lฦฐแปฃng รญt nแบฟu cแปญa hร ng vแปซa cรณ khรกch bรกn ra. Cรฒn tแบกi SJC, cรกc chi nhรกnh giแปi hแบกn lฦฐแปฃng mua tแปi ฤa 5 phรขn ฤแบฟn 1 chแป mแปi ngฦฐแปi. Trรชn thแป trฦฐแปng quแปc tแบฟ, mแปi ounce vร ng trong 5 ngร y qua tฤng mแบกnh hฦกn 100 USD. Kim loแบกi quรฝ cรณ thแปi ฤiแปm lรชn mแปฉc kแปท lแปฅc gแบงn 2.750 USD, trฦฐแปc khi lรนi vแป vรนng 2.738 USD vร o sรกng nay. Quy ฤแปi theo tแปท giรก bรกn Vietcombank, giรก vร ng trong nฦฐแปc chรชnh lแปch 3,5-5 triแปu ฤแปng mแปt lฦฐแปฃng so vแปi thแบฟ giแปi. Theo dแปฑ bรกo cแปงa cรกc nhร bฤng hร ng ฤแบงu thแบฟ giแปi, giรก vร ng thแบฟ giแปi cรณ thแป lรชn 3.000 USD mแปt ounce vร o nฤm sau. Cรกc chuyรชn gia khuyแบฟn nghแป nhร ฤแบงu tฦฐ phรขn bแป tแปท trแปng nhแป danh mแปฅc vร o kรชnh trรบ แบฉn nร y, ฤแบทc biแปt trong bแปi cแบฃnh kim loแบกi quรฝ ฤรฃ tฤng mแบกnh thแปi gian qua."
ฤoแบกn 3: "Nhu cแบงu trรบ แบฉn khi cฤng thแบณng ฤแปa chรญnh trแป leo thang kรฉo giรก vร ng lรชn mแปฉc ฤแปnh mแปi, tแบกi 2.748 USD mแปt ounce. Chแปt phiรชn giao dแปch 22/10, giรก vร ng thแบฟ giแปi giao ngay tฤng gแบงn 30 USD lรชn 2.748 USD mแปt ounce. ฤรขy lร mแปฉc cao kแปท lแปฅc mแปi cแปงa kim loแบกi quรฝ. "Cฤng thแบณng ฤแปa chรญnh trแป vแบซn lร nguyรชn nhรขn chแปง yแบฟu. Hai tuแบงn nแปฏa sแบฝ diแป
n ra bแบงu cแปญ Tแปng thแปng Mแปน vร cuแปc ฤua vแบซn rแบฅt sรกt sao. Bแบฅt แปn chรญnh trแป ฤang kรฉo nhu cแบงu trรบ แบฉn lรชn cao", Peter A. Grant - Phรณ giรกm ฤแปc Zaner Metals nhแบญn ฤแปnh trรชn Reuters. Giรก vร ng thแบฟ giแปi ฤแบฃo chiแปu tฤng mแบกnh trong phiรชn 22/10. ฤแป thแป: Kitco Giรก vร ng thแบฟ giแปi ฤแบฃo chiแปu tฤng mแบกnh trong phiรชn 22/10. ฤแป thแป: Kitco Cuแปc thฤm dรฒ mแปi nhแบฅt cแปงa Reuters/Ipsos cho thแบฅy tแปท lแป แปงng hแป Phรณ tแปng thแปng Kamala Harris hiแปn lร 46%, nhแปnh hฦกn so vแปi 43% cแปงa cแปฑu Tแปng thแปng Donald Trump. "Sแปฑ sรกt sao nร y ฤang tแบกo nรชn tรฌnh trแบกng thiแบฟu chแบฏc chแบฏn. Mรดi trฦฐแปng nร y cรณ lแปฃi cho vร ng", cรกc nhร phรขn tรญch tแบกi ngรขn hร ng BNP Paribas nhแบญn ฤแปnh. Grant dแปฑ bรกo nแบฟu cฤng thแบณng tแบกi Trung ฤรดng tiแบฟp tแปฅc tฤng nhiแปt, giรก cรณ thแป lรชn 3.000 USD cuแปi nฤm nay. Tแปซ ฤแบงu nฤm, giรก ฤรฃ tฤng 33% vร liรชn tiแบฟp lแบญp ฤแปnh mแปi. Mแปt yแบฟu tแป khรกc ฤang hแป trแปฃ kim loแบกi quรฝ lร lร n sรณng giแบฃm lรฃi suแบฅt cแปงa cรกc ngรขn hร ng trung ฦฐฦกng lแปn trรชn toร n cแบงu. Mแปน, chรขu รu, Trung Quแปc cรนng hร ng loแบกt nแปn kinh tแบฟ khรกc ฤรฃ giแบฃm lรฃi suแบฅt nฤm nay ฤแป hแป trแปฃ nแปn kinh tแบฟ. Trong khi ฤรณ, tแบกi Wall Street, cรกc chแป sแป chรญnh gแบงn nhฦฐ ฤแปฉng yรชn. Nhร ฤแบงu tฦฐ hiแปn theo dรตi lแปฃi suแบฅt trรกi phiแบฟu chรญnh phแปง Mแปน vร chแป ฤรกnh giรก thรชm bรกo cรกo tร i chรญnh cแปงa cรกc doanh nghiแปp. Ngoร i vร ng, cรกc kim loแบกi quรฝ khรกc cลฉng tฤng giรก. Bแบกc lแบญp ฤแปnh 12 nฤm, khi tฤng 3,2% lรชn gแบงn 35 USD mแปt ounce. Han Tan - chiแบฟn lฦฐแปฃc gia thแป trฦฐแปng tแบกi Exinity Group dแปฑ bรกo bแบกc vฦฐแปฃt mแปc 35 USD trฦฐแปc khi cuแปc bแบงu cแปญ diแป
n ra. Bแบกch kim ฤแบฏt thรชm 2,8% lรชn 1.031 USD mแปt ounce. Palladium tฤng 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 triแปu ฤแปng.
Answer with bot persona
messages = [
{"role": "system", "content": '''Bแบกn lร mแปt trแปฃ lรญ Tiแบฟng Viแปt nhiแปt tรฌnh vร trung thแปฑc. Hรฃy luรดn trแบฃ lแปi mแปt cรกch hแปฏu รญch nhแบฅt cรณ thแป, ฤแปng thแปi giแปฏ an toร n.
Nแบฟu mแปt cรขu hแปi khรดng cรณ รฝ nghฤฉa hoแบทc khรดng hแปฃp lรฝ vแป mแบทt thรดng tin, hรฃy giแบฃi thรญch tแบกi sao thay vรฌ trแบฃ lแปi mแปt ฤiแปu gรฌ ฤรณ khรดng chรญnh xรกc, vui lรฒng khรดng chia sแบป thรดng tin sai lแปch.
Context:
ฤoแบกn 0: "Chรญnh phแปง ฤแป xuแบฅt bแป sung gแบงn 20.700 tแปท ฤแปng vแปn ฤiแปu lแป cho Ngรขn hร ng Ngoแบกi thฦฐฦกng Viแปt Nam (Vietcombank) tแปซ cแป tแปฉc bแบฑng cแป phiแบฟu ฤฦฐแปฃc chia cแปงa cแป ฤรดng Nhร nฦฐแปc. Chiแปu 23/10, thแปซa แปงy quyแปn Chรญnh phแปง, Phรณ thแปง tฦฐแปng, Bแป trฦฐแปng Tร i chรญnh Hแป ฤแปฉc Phแปc trรฌnh Quแปc hแปi vแป bแป sung vแปn Nhร nฦฐแปc tแบกi Ngรขn hร ng Ngoแบกi Thฦฐฦกng Viแปt Nam (Vietcombank). Theo ฤรณ, Chรญnh phแปง ฤแป nghแป tฤng vแปn ฤiแปu lแป cho ngรขn hร ng nร y gแบงn 20.700 tแปท ฤแปng tแปซ cแป tแปฉc bแบฑng cแป phiแบฟu ฤฦฐแปฃc chia cแปงa cแป ฤรดng Nhร nฦฐแปc. Sแป tiแปn nร y lแบฅy tแปซ nguแปn lแปฃi nhuแบญn cรฒn lแบกi lลฉy kแบฟ ฤแบฟn hแบฟt nฤm 2018 vร lรฃi cรฒn lแบกi nฤm 2021. Vแปn ฤiแปu lแป dแปฑ kiแบฟn rรณt thรชm cho Vietcombank gแบงn bแบฑng lแปฃi nhuแบญn hแปฃp nhแบฅt trฦฐแปc thuแบฟ nแปญa ฤแบงu nฤm nay cแปงa nhร bฤng nร y. Viแปc bแป sung vแปn cho "รดng lแปn" ngรขn hร ng quแปc doanh ฤฦฐแปฃc Phรณ thแปง tฦฐแปng nhแบฅn mแบกnh lร cแบฅp thiแบฟt ฤแป duy trรฌ tแปท lแป vแปn gรณp Nhร nฦฐแปc, phรน hแปฃp chiแบฟn lฦฐแปฃc phรกt triแปn kinh tแบฟ xรฃ hแปi, tแบกo nguแปn lแปฑc hแป trแปฃ ngรขn hร ng yแบฟu kรฉm. Phรณ thแปง tฦฐแปng cho biแบฟt, phแบงn lแปฃi nhuแบญn cรฒn lแบกi lลฉy kแบฟ hแบฟt nฤm 2018 vร lรฃi cรฒn lแบกi 2021 hiแปn ฤฦฐแปฃc hแบกch toรกn theo dรตi tแบกi VCB, chฦฐa nแบฑm trong cรขn ฤแปi ngรขn sรกch Nhร nฦฐแปc. Do vแบญy, nguแปn vแปn ฤแป xuแบฅt tฤng cho ngรขn hร ng nร y khรดng แบฃnh hฦฐแปng tแปi kแบฟ hoแบกch dแปฑ toรกn thu chi ngรขn sรกch 2024-2025. Phรณ thแปง tฦฐแปng, Bแป trฦฐแปng Tร i chรญnh Hแป ฤแปฉc Phแปc ฤแปc tแป trรฌnh bแป sung vแปn cho Vietcombank, ngร y 23/10. แบขnh: Trung tรขm bรกo chรญ Quแปc hแปi Phรณ thแปง tฦฐแปng, Bแป trฦฐแปng Tร i chรญnh Hแป ฤแปฉc Phแปc ฤแปc tแป trรฌnh bแป sung vแปn cho Vietcombank, ngร y 23/10. แบขnh: Trung tรขm bรกo chรญ Quแปc hแปi Vแปn ฤiแปu lแป cแปงa Vietcombank hiแปn lร 55.891 tแปท ฤแปng, thแบฅp hฦกn nhiแปu so vแปi VPBank (79.339 tแปท ฤแปng), Techcombank (70.450 tแปท ฤแปng) vร khรดng cรณ sแปฑ cรกch biแปt lแปn so vแปi mแปt sแป ngรขn hร ng thฦฐฦกng mแบกi cแป phแบงn nhฦฐ MB (52.871) tแปท ฤแปng, ACB (44.667 tแปท ฤแปng) vร SHB (36.629 tแปท ฤแปng). Ngoร i ra, viแปc tฤng vแปn nhแบฑm ฤแป ngรขn hร ng nร y ฤรกp แปฉng cรกc tแปท lแป an toร n tแปi thiแปu. Tรญnh tแปi cuแปi 2023, tแปท lแป an toร n vแปn (CAR) cแปงa ngรขn hร ng nร y lร 11,05%, ฤแบฃm bแบฃo quy ฤแปnh. 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 bฤng trong khu vแปฑc (Singapore lร 17,1%, Indonesia 23,27%...). Thแบฉm tra nแปi dung nร y, Chแปง nhiแปm แปฆy ban Kinh tแบฟ Vลฉ Hแปng Thanh cho rแบฑng ฤแป xuแบฅt tฤng vแปn cho Vietcombank bแบฃo ฤแบฃm cฦก sแป phรกp lรฝ vร ฤรบng thแบฉm quyแปn theo quy ฤแปnh. Tuy nhiรชn, แปฆy ban Kinh tแบฟ ฤแป nghแป Chรญnh phแปง lแบฅy รฝ kiแบฟn cแปงa cแป ฤรดng chiแบฟn lฦฐแปฃc nฦฐแปc ngoร i Ngรขn hร ng Mizuho Corporate Bank - ฤฦกn vแป nแบฏm 15% vแปn ฤiแปu lแป cแปงa Vietcombank. Viแปc nร y nhแบฑm thuแบญn lแปฃi trong quรก trรฌnh tฤng vแปn. Chรญnh phแปง cลฉng cแบงn bแป sung thรดng tin hiแปn trแบกng vแปn cแปงa Vietcombank so vแปi cรกc ngรขn hร ng thฦฐฦกng mแบกi trong hแป thแปng hiแปn nay. "Cรณ รฝ kiแบฟn ฤแป nghแป lร m rรต nhแบญn ฤแปnh nguแปn vแปn ฤแป xuแบฅt ฤแป tฤng vแปn ฤiแปu lแป khรดng tรกc ฤแปng ฤแบฟn ngรขn sรกch Nhร nฦฐแปc", รดng Thanh cho biแบฟt. Trแปฅ sแป Ngรขn hร ng Ngoแบกi thฦฐฦกng Viแปt Nam (Vietcombank). แบขnh: VCB Trแปฅ sแป Ngรขn hร ng Ngoแบกi thฦฐฦกng Viแปt Nam (Vietcombank). แบขnh: VCB Chแปง nhiแปm แปฆy ban Kinh tแบฟ Vลฉ Hแปng Thanh ฤแป nghแป Chรญnh phแปง chแป ฤแบกo Ngรขn hร ng Nhร nฦฐแปc cรนng cรกc bแป, ngร nh liรชn quan xแปญ lรฝ phแบงn lแปฃi nhuแบญn cรฒn lแบกi nฤm 2022, 2023 (lแบงn lฦฐแปฃt lร 21.680 tแปท vร 25.009 tแปท ฤแปng), nhแบฑm tฤng nฤng lแปฑc tร i chรญnh cho Vietcombank, bรน ฤแบฏp mแปฉc thiแบฟu hแปฅt vแปn tแปฑ cรณ, bแบฃo ฤแบฃm an toร n hoแบกt ฤแปng. Cฦก quan thแบฉm tra lฦฐu รฝ vแปn ฤฦฐแปฃc bแป sung cho Vietcombank cแบงn ฤฦฐแปฃc dรนng ฤแป mแป rแปng kinh doanh, cung แปฉng tรญn dแปฅng vแปi cรกc lฤฉnh vแปฑc, dแปฑ รกn quan trแปng quแปc gia quy mรด lแปn, giแบฃm lรฃi suแบฅt cho vay, cลฉng nhฦฐ ฤแปi mแปi mรด hรฌnh quแบฃn trแป, chแบฅt lฦฐแปฃng dแปch vแปฅ cแปงa nhร bฤng nร y. "Chรญnh phแปง cแบงn ฤรกnh giรก kแปน tรกc ฤแปng viแปc bแป sung vแปn Nhร nฦฐแปc cho Vietcombank tแปi phรกt triแปn cแปงa ngร nh ngรขn hร ng, hiแปu quแบฃ kinh tแบฟ xรฃ hแปi", แปฆy ban Kinh tแบฟ lฦฐu รฝ. Vietcombank lร mแปt trong 4 ngรขn hร ng thฦฐฦกng mแบกi Nhร nฦฐแปc, bรชn cแบกnh BIDV, VietinBank vร Agribank. Ngรขn hร ng nร y do Nhร nฦฐแปc sแป hแปฏu 74,8% vแปn ฤiแปu lแป. Lลฉy kแบฟ nแปญa ฤแบงu nฤm nay, lแปฃi nhuแบญn hแปฃp nhแบฅt trฦฐแปc thuแบฟ cแปงa nhร bฤng nร y ฤแบกt 20.835 tแปท ฤแปng, tฤng 1,6% so vแปi cรนng kแปณ 2023. Vแปi dแปฏ liแปu nร y, Vietcombank tiแบฟp tแปฅc ฤแปฉng ฤแบงu toร n hแป thแปng ngรขn hร ng vแป lแปฃi nhuแบญn 6 thรกng ฤแบงu nฤm. ฤรขy cลฉng lร mแปฉc lรฃi nแปญa ฤแบงu nฤm cao kแปท lแปฅc cแปงa nhร bฤng nร y. Tรญnh ฤแบฟn 30/6, tแปng tร i sแบฃn cแปงa ngรขn hร ng ฤแบกt hฦกn 1,9 triแปu tแปท ฤแปng, tฤng 3,6% so vแปi cuแปi 2023. Trong ฤรณ, cho vay khรกch hร ng gแบงn 1,37 triแปu tแปท ฤแปng, tฤng 7,8%."
ฤoแบกn 1: "ฤรฃ cรณ vร i ฤฦกn vแป bรกn tรญn chแป carbon cho khรกch ngoแบกi nhฦฐng cรฒn thiแบฟu cฦก sแป phรกp lรฝ ฤแป ฤแบฃm bแบฃo hoแบกt ฤแปng ฤฦฐแปฃc thuแบญn lแปฃi, theo chuyรชn gia. Thรดng tin tแบกi phiรชn tแปa ฤร m thuแปc Diแป
n ฤร n vร Triแปn lรฃm Kinh tแบฟ xanh 2024 (GEFE), รดng ฤแป Ngแปc Quแปณnh, Tแปng thฦฐ kรฝ Hiแปp hแปi Thแป trฦฐแปng Trรกi phiแบฟu Viแปt Nam (VBMA), cho biแบฟt thแป trฦฐแปng tรญn chแป carbon tแปฑ nguyแปn Viแปt Nam ฤรฃ cรณ mแปt sแป ฤฦกn vแป bรกn ฤฦฐแปฃc tรญn chแป carbon cho nhร ฤแบงu tฦฐ, tแบญp ฤoร n nฦฐแปc ngoร i. "Hแป ฤang mua chแปฉng chแป carbon vร chแปฉng chแป nฤng lฦฐแปฃng tรกi tแบกo (REC) trong tiรชu chรญ RE100, tแปฉc 100% nฤng lฦฐแปฃng tรกi tแบกo", รดng cho biแบฟt. RE100 lร sรกng kiแบฟn toร n cแบงu dร nh cho cรกc cรดng ty cam kแบฟt sแปญ dแปฅng 100% ฤiแปn nฤng tรกi tแบกo, phรกt ฤแปng bแปi Climate Group vร CDP vร o 2014. Tแปซ trรกi sang, Marco Gaspari, ฤiแปu phแปi viรชn Ngร nh Mรดi trฦฐแปng tแบกi Cฦก quan Hแปฃp tรกc Phรกt triแปn Italy (AICS Hร Nแปi) vร รดng ฤแป Ngแปc Quแปณnh, Tแปng Thฦฐ kรฝ Hiแปp hแปi Thแป trฦฐแปng Trรกi phiแบฟu Viแปt Nam (VBMA) nรณi tแบกi tแปa ฤร m. แบขnh: GEFE 2024 Marco Gaspari, ฤiแปu phแปi viรชn Ngร nh Mรดi trฦฐแปng tแบกi Cฦก quan Hแปฃp tรกc Phรกt triแปn Italy (AICS Hร Nแปi) vร รดng ฤแป Ngแปc Quแปณnh, Tแปng Thฦฐ kรฝ Hiแปp hแปi Thแป trฦฐแปng Trรกi phiแบฟu Viแปt Nam (VBMA) chia sแบป tแบกi tแปa ฤร m. แบขnh: GEFE 2024 Thแป trฦฐแปng carbon gแปm hai hรฌnh thแปฉc lร bแบฏt buแปc vร tแปฑ nguyแปn. ฤแป hแปa: Dแปน Tรนng Phรขn biแปt cรกc loแบกi thแป trฦฐแปng carbon. ฤแป hแปa: Dแปน Tรนng Theo kแบฟ hoแบกch cแปงa chรญnh phแปง, thแป trฦฐแปng bแบฏt buแปc sแบฝ vแบญn hร nh thแปญ nghiแปm vร o giai ฤoแบกn 2025-2028. Vแปi thแป trฦฐแปng tแปฑ nguyแปn, รดng Quแปณnh cho biแบฟt ฤรฃ bแบฏt ฤแบงu hรฌnh thร nh vร cลฉng biแบฟn ฤแปng theo diแป
n biแบฟn xu hฦฐแปng chung toร n cแบงu. Chuyรชn gia VBMA cho rแบฑng Viแปt Nam ฤรฃ cรณ chรญnh sรกch chung ฤแป thแปฑc hiแปn cam kแบฟt Net Zero vร o 2050, nhฦฐng vแบซn chฦฐa cรณ phรกp lรฝ ฤแบงy ฤแปง vร rรต rร ng cho thแป trฦฐแปng carbon tแปฑ nguyแปn. "Nhแปฏng ngฦฐแปi bรกn tแบกi Viแปt Nam sau giao dแปch khรดng biแบฟt hแบกch toรกn vร o ฤรขu, nแปp thuแบฟ thแบฟ nร o. Mแปt sแป chแปn phฦฐฦกng รกn tรญnh vร o thu nhแบญp bแบฅt thฦฐแปng ฤแป khai thuแบฟ", รดng vรญ dแปฅ. รng Nguyแป
n Thร nh Nghiแปp, Luแบญt sฦฐ thร nh viรชn cรดng ty luแบญt VTN vร Cแปng sแปฑ chแป ra viแปc chฦฐa cรณ quy ฤแปnh xรกc ฤแปnh tรญnh chแบฅt tร i sแบฃn cแปงa tรญn chแป carbon. "Chรบng cรณ ฤฦฐแปฃc xem lร tร i sแบฃn bรฌnh thฦฐแปng, ฤฦฐแปฃc thแบฟ chแบฅp hay giao dแปch thแบฟ nร o chฦฐa cรณ ฤแปง cฤn cแปฉ phรกp lรฝ", รดng nรณi. Ngoร i ra, quy trรฌnh MRV (ฤo lฦฐแปng, bรกo cรกo vร kiแปm chแปฉng) cลฉng cแบงn quy ฤแปnh, hฦฐแปng dแบซn rรต. Theo รดng, ngoร i cรกc cฦก quan quแบฃn lรฝ, khu vแปฑc tฦฐ nhรขn cลฉng trรดng chแป xem liแปu cรณ thแป tham gia hoแบกt ฤแปng MRV khรดng. "Trong thแปi gian tแปi, nแบฟu hoร n thiแปn phรกp lรฝ, thแป trฦฐแปng sแบฝ cรณ nhiแปu tiแปm nฤng phรกt triแปn hฦกn", รดng ฤแป Ngแปc Quแปณnh dแปฑ bรกo. Ngoร i tรญn chแป carbon, vแปi tiแปm nฤng ฤiแปn tรกi tแบกo thแปฉ tฦฐ thแบฟ giแปi theo McKenzie, รดng cho rแบฑng cรณ thแป khai thรกc viแปc vแปซa bรกn tรญn chแป carbon vแปซa bรกn ฤฦฐแปฃc REC. Theo VBMA, quy mรด thแป trฦฐแปng carbon bแบฏt buแปc toร n cแบงu ฤแบกt 104 tแปท USD nฤm ngoรกi, tฤng 100% so vแปi nฤm 2020. Trong khi, thแป trฦฐแปng tแปฑ nguyแปn ฤรฃ thu hแบนp cรฒn 800 triแปu USD, giแบฃm hai phแบงn ba so vแปi 2021 do mแปt sแป vแปฅ bรช bแปi liรชn quan ฤแบฟn "giแบทt xanh" (green washing) lร m แบฃnh hฦฐแปng ฤแบฟn uy tรญn, niแปm tin. Theo dรตi biแบฟn ฤแปng cแปงa thแป trฦฐแปng thแบฟ giแปi giรบp cรกc bรชn tham gia trong thแป trฦฐแปng carbon tแปฑ nguyแปn cรฒn sฦก khai cแปงa Viแปt Nam rรบt kinh nghiแปm vร tรฌm ra hฦฐแปng ฤi. Marco Gaspari, ฤiแปu phแปi viรชn Ngร nh Mรดi trฦฐแปng tแบกi Cฦก quan Hแปฃp tรกc Phรกt triแปn Italy (AICS) vฤn phรฒng Hร Nแปi, dแปฑ bรกo ngฦฐแปi mua sแบฝ cแบงn tรฌm kiแบฟm cรกc bรชn bรกn tรญn chแป cรณ hแป thแปng quแบฃn trแป tแปt vร rรต rร ng. รng cho rแบฑng ngฦฐแปi mua ฤang thiรชn vแป chuแปng mua tรญn chแป lฤฉnh vแปฑc giแบฃm phรกt thแบฃi sแบฃn xuแบฅt vรฌ dแป
chแปฉng minh. Mแปt loแบกi ฤฦฐแปฃc quan tรขm khรกc lร "carbon xanh dฦฐฦกng" (blue carbon) - tรญn chแป tแบกo ra tแปซ cรกc dแปฑ รกn hแบฅp thแปฅ carbon cแปงa rแปซng ngแบญp mแบทn, ฤแบงm lแบงy bรฃi triแปu vร cแป biแปn. รng chแป ra Viแปt Nam triแปn vแปng vแปi 200.000 ha rแปซng ngแบญp mแบทn, cรณ thแป lร m cรกc dแปฑ รกn carbon tฦฐฦกng tแปฑ nhฦฐ แป Honduras. Bร Thu Nguyแป
n, Quแบฃn lรฝ chรญnh sรกch tแบกi Apanada Management Consultancy, ฤแบกi diแปn Viแปn Tร i nguyรชn Thแบฟ giแปi (WRI) khuyแบฟn nghแป cรกc dแปฑ รกn tรญn chแป carbon nรขng cao giรก trแป bแบฑng cรกch quan tรขm ฤแบฟn tรญnh bรฌnh ฤแบณng vร bao trรนm. Theo ฤรณ, mแปฅc tiรชu khรดng chแป lร giแบฃm phรกt thแบฃi mร cรฒn lร cแบฃi thiแปn ฤแปi sแปng ngฦฐแปi dรขn vร phรกt triแปn bรฌnh ฤแบณng hฦกn "Dแปฑ รกn cแบงn bแบฃo ฤแบฃm cรณ tham vแบฅn cแปงa cแปng ฤแปng, ฤแบทc biแปt lร phแปฅ nแปฏ vร cรกc nhรณm yแบฟu thแบฟ, ฤแป tแบกo ra lแปฃi รญch cho cแบฃ cแปng ฤแปng lแบซn nhร ฤแบงu tฦฐ", bร nรณi."
ฤoแบกn 2: "Giรก nhแบซn trฦกn liรชn tแปฅc ฤiแปu chแปnh, tฤng gแบงn mแปt triแปu ฤแปng trong ngร y vร cรณ nฦกi lรชn sรกt 89 triแปu ฤแปng mแปt lฦฐแปฃng. 15h ngร y 23/10, giรก mua bรกn nhแบซn trฦกn ฤฦฐแปฃc cรกc thฦฐฦกng hiแปu kinh doanh ฤiแปu chแปnh theo diแป
n biแบฟn ฤi lรชn cแปงa thแบฟ giแปi. Chiแปu nay, mแปi ounce vร ng quแปc tแบฟ tiแบฟp tแปฅc thiแบฟt lแบญp kแปท lแปฅc mแปi 2.755 USD. Giรก nhแบซn trฦกn tแบกi Cรดng ty Vร ng bแบกc ฤรก quรฝ Sร i Gรฒn (SJC) cลฉng tฤng nแปญa triแปu ฤแปng so vแปi ฤแบงu sรกng vร gแบงn 1 triแปu ฤแปng so vแปi cuแปi ngร y hรดm qua, lรชn 86,9 - 88,2 triแปu ฤแปng. Cรดng ty Vร ng bแบกc ฤรก quรฝ Phรบ Nhuแบญn (PNJ) vร Mi Hแปng niรชm yแบฟt giรก nhแบซn trฦกn quanh vรนng 87,4 - 88,4 triแปu ฤแปng. Cรฒn tแบกi Tแบญp ฤoร n Vร ng bแบกc ฤรก quรฝ DOJI, giรก mua bรกn nhแบซn trฦกn cรนng thแปi ฤiแปm thแบญm chรญ lรชn 88 - 88,9 triแปu ฤแปng mแปt lฦฐแปฃng. Trฦฐแปc ฤรณ ฤแบงu ngร y, Cรดng ty Vร ng bแบกc ฤรก quรฝ Sร i Gรฒn (SJC) ฤรฃ tฤng 300.000 ฤแปng mแปt lฦฐแปฃng so vแปi cuแปi ngร y hรดm qua, niรชm yแบฟt giรก nhแบซn trฦกn tแบกi 86,3 - 87,6 triแปu ฤแปng. Biแปu giรก mua bรกn nhแบซn trฦกn tแบกi Tแบญp ฤoร n Vร ng bแบกc ฤรก quรฝ DOJI lรบc 9h sรกng lร 87 - 88 triแปu ฤแปng, tฤng 200.000 ฤแปng so vแปi cuแปi ngร y hรดm qua. Nhแบซn trฦกn giแปฏ nhแปp tฤng liรชn tแปฅc trong 10 ngร y qua. So vแปi giแปฏa thรกng, mแปi lฦฐแปฃng nhแบซn trฦกn ฤรฃ tฤng hฦกn 5 triแปu ฤแปng. Cรฒn so vแปi ฤแบงu nฤm, nhแบซn trฦกn tฤng gแบงn 25 triแปu mแปt lฦฐแปฃng, tฦฐฦกng ฤฦฐฦกng hiแปu suแบฅt 39%. Trong khi giรก vร ng miแบฟng SJC ฤแปฉng yรชn แป vรนng 87 - 89 triแปu mแปt lฦฐแปฃng, do Ngรขn hร ng Nhร nฦฐแปc chฦฐa thay ฤแปi giรก bรกn can thiแปp. Thแปi ฤiแปm nร y lร mรนa cฦฐแปi cuแปi nฤm vร nhu cแบงu mua vร ng nhแบซn lร m quร cฦฐแปi tฤng, song ngฦฐแปi dรขn khรดng dแป
ฤแป mua ฤฦฐแปฃc mแบทt hร ng nร y tแบกi cรกc thฦฐฦกng hiแปu lแปn. Cรกc thฦฐฦกng hiแปu lแปn nhฦฐ DOJI, PNJ, Bแบฃo Tรญn Minh Chรขu thฦฐแปng xuyรชn trong tรฌnh trแบกng chรกy hร ng. Khรกch lแบป chแป may mแบฏn mua ฤฦฐแปฃc sแป lฦฐแปฃng รญt nแบฟu cแปญa hร ng vแปซa cรณ khรกch bรกn ra. Cรฒn tแบกi SJC, cรกc chi nhรกnh giแปi hแบกn lฦฐแปฃng mua tแปi ฤa 5 phรขn ฤแบฟn 1 chแป mแปi ngฦฐแปi. Trรชn thแป trฦฐแปng quแปc tแบฟ, mแปi ounce vร ng trong 5 ngร y qua tฤng mแบกnh hฦกn 100 USD. Kim loแบกi quรฝ cรณ thแปi ฤiแปm lรชn mแปฉc kแปท lแปฅc gแบงn 2.750 USD, trฦฐแปc khi lรนi vแป vรนng 2.738 USD vร o sรกng nay. Quy ฤแปi theo tแปท giรก bรกn Vietcombank, giรก vร ng trong nฦฐแปc chรชnh lแปch 3,5-5 triแปu ฤแปng mแปt lฦฐแปฃng so vแปi thแบฟ giแปi. Theo dแปฑ bรกo cแปงa cรกc nhร bฤng hร ng ฤแบงu thแบฟ giแปi, giรก vร ng thแบฟ giแปi cรณ thแป lรชn 3.000 USD mแปt ounce vร o nฤm sau. Cรกc chuyรชn gia khuyแบฟn nghแป nhร ฤแบงu tฦฐ phรขn bแป tแปท trแปng nhแป danh mแปฅc vร o kรชnh trรบ แบฉn nร y, ฤแบทc biแปt trong bแปi cแบฃnh kim loแบกi quรฝ ฤรฃ tฤng mแบกnh thแปi gian qua."
ฤoแบกn 3: "Nhu cแบงu trรบ แบฉn khi cฤng thแบณng ฤแปa chรญnh trแป leo thang kรฉo giรก vร ng lรชn mแปฉc ฤแปnh mแปi, tแบกi 2.748 USD mแปt ounce. Chแปt phiรชn giao dแปch 22/10, giรก vร ng thแบฟ giแปi giao ngay tฤng gแบงn 30 USD lรชn 2.748 USD mแปt ounce. ฤรขy lร mแปฉc cao kแปท lแปฅc mแปi cแปงa kim loแบกi quรฝ. "Cฤng thแบณng ฤแปa chรญnh trแป vแบซn lร nguyรชn nhรขn chแปง yแบฟu. Hai tuแบงn nแปฏa sแบฝ diแป
n ra bแบงu cแปญ Tแปng thแปng Mแปน vร cuแปc ฤua vแบซn rแบฅt sรกt sao. Bแบฅt แปn chรญnh trแป ฤang kรฉo nhu cแบงu trรบ แบฉn lรชn cao", Peter A. Grant - Phรณ giรกm ฤแปc Zaner Metals nhแบญn ฤแปnh trรชn Reuters. Giรก vร ng thแบฟ giแปi ฤแบฃo chiแปu tฤng mแบกnh trong phiรชn 22/10. ฤแป thแป: Kitco Giรก vร ng thแบฟ giแปi ฤแบฃo chiแปu tฤng mแบกnh trong phiรชn 22/10. ฤแป thแป: Kitco Cuแปc thฤm dรฒ mแปi nhแบฅt cแปงa Reuters/Ipsos cho thแบฅy tแปท lแป แปงng hแป Phรณ tแปng thแปng Kamala Harris hiแปn lร 46%, nhแปnh hฦกn so vแปi 43% cแปงa cแปฑu Tแปng thแปng Donald Trump. "Sแปฑ sรกt sao nร y ฤang tแบกo nรชn tรฌnh trแบกng thiแบฟu chแบฏc chแบฏn. Mรดi trฦฐแปng nร y cรณ lแปฃi cho vร ng", cรกc nhร phรขn tรญch tแบกi ngรขn hร ng BNP Paribas nhแบญn ฤแปnh. Grant dแปฑ bรกo nแบฟu cฤng thแบณng tแบกi Trung ฤรดng tiแบฟp tแปฅc tฤng nhiแปt, giรก cรณ thแป lรชn 3.000 USD cuแปi nฤm nay. Tแปซ ฤแบงu nฤm, giรก ฤรฃ tฤng 33% vร liรชn tiแบฟp lแบญp ฤแปnh mแปi. Mแปt yแบฟu tแป khรกc ฤang hแป trแปฃ kim loแบกi quรฝ lร lร n sรณng giแบฃm lรฃi suแบฅt cแปงa cรกc ngรขn hร ng trung ฦฐฦกng lแปn trรชn toร n cแบงu. Mแปน, chรขu รu, Trung Quแปc cรนng hร ng loแบกt nแปn kinh tแบฟ khรกc ฤรฃ giแบฃm lรฃi suแบฅt nฤm nay ฤแป hแป trแปฃ nแปn kinh tแบฟ. Trong khi ฤรณ, tแบกi Wall Street, cรกc chแป sแป chรญnh gแบงn nhฦฐ ฤแปฉng yรชn. Nhร ฤแบงu tฦฐ hiแปn theo dรตi lแปฃi suแบฅt trรกi phiแบฟu chรญnh phแปง Mแปน vร chแป ฤรกnh giรก thรชm bรกo cรกo tร i chรญnh cแปงa cรกc doanh nghiแปp. Ngoร i vร ng, cรกc kim loแบกi quรฝ khรกc cลฉng tฤng giรก. Bแบกc lแบญp ฤแปnh 12 nฤm, khi tฤng 3,2% lรชn gแบงn 35 USD mแปt ounce. Han Tan - chiแบฟn lฦฐแปฃc gia thแป trฦฐแปng tแบกi Exinity Group dแปฑ bรกo bแบกc vฦฐแปฃt mแปc 35 USD trฦฐแปc khi cuแปc bแบงu cแปญ diแป
n ra. Bแบกch kim ฤแบฏt thรชm 2,8% lรชn 1.031 USD mแปt ounce. Palladium tฤng 2,9% lรชn 1.081 USD."
'''},
{"role": "user", "content": '''Hรฃy trแบฃ lแปi cรขu hแปi sau dแปฑa vร o ฤoแบกn ngแปฏ cแบฃnh ฤฦฐแปฃc cung cแบฅp. Cรขu trแบฃ lแปi phแบฃi cรณ thฦฐa gแปญi rรต rร ng, xฦฐng lร em vร kรญnh thฦฐa quรฝ khรกch.\nCรขu hแปi: 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 ฤแปng tแปซ 86,9 ฤแบฟn 88,2 triแปu ฤแปng mแปt ounce, tรนy thuแปc vร o tแปซng thฦฐฦกng hiแปu.
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 mแปt trแปฃ lรฝ hแปฏu รญch vแปi khแบฃ nฤng 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 thแปi tiแบฟt cho cรกc ฤแปa ฤiแปm cแปฅ thแป, bao gแปm nhiแปt ฤแป, ฤแป แบฉm vร tรฌnh trแบกng thแปi tiแบฟt. Vรญ dแปฅ: thแปi tiแบฟt hรดm nay, dแปฑ bรกo thแปi tiแบฟt แป Hร Nแปi, nhiแปt ฤแป tแบกi ฤร 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 mแปi nhแบฅt trรชn nhiแปu lฤฉnh vแปฑc nhฦฐ chรญnh trแป, cรดng nghแป, thแป thao vร giแบฃi trรญ. Vรญ dแปฅ: tin tแปฉc hรดm nay, cแบญp nhแบญt thแป thao, tin cรดng nghแป mแปi 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 ฤn dแปฑa trรชn nguyรชn liแปu hoแบทc sแป thรญch dinh dฦฐแปกng. Vรญ dแปฅ: cรดng thแปฉc mรณn ฤn vแปi gร , mรณn chay, ฤn 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 thแป loแบกi, tรขm trแบกng hoแบทc tiรชu ฤแป cแปฅ thแป. Vรญ dแปฅ: phim hร i hay, phim hร nh ฤแปng mแปi, gแปฃi รฝ phim cho tแปi 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 khแปe vร thแป dแปฅc dแปฑa trรชn mแปฅc tiรชu cแปงa ngฦฐแปi dรนng. Vรญ dแปฅ: bร i tแบญp giแบฃm cรขn, lแปch tแบญp gym cho ngฦฐแปi mแปi, lแปi 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 lแปch, bao gแปm gแปฃi รฝ lแปch trรฌnh, mแบนo ฤแบทt vรฉ vร thรดng tin vแป ฤiแปm ฤแบฟn. Vรญ dแปฅ: lรชn kแบฟ hoแบกch du lแปch ฤร Nแบตng, ฤแปa ฤiแปm tham quan แป Nha Trang, mแบนo du lแปch 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 mแปt trแปฃ lรญ Tiแบฟng Viแปt nhiแปt tรฌnh vร trung thแปฑc. Hรฃy luรดn trแบฃ lแปi mแปt cรกch hแปฏu รญch nhแบฅt cรณ thแป, ฤแปng thแปi giแปฏ an toร n.\nNแบฟu mแปt cรขu hแปi khรดng cรณ รฝ nghฤฉa hoแบทc khรดng hแปฃp lรฝ vแป mแบทt thรดng tin, hรฃy giแบฃi thรญch tแบกi sao thay vรฌ trแบฃ lแปi mแปt ฤiแปu gรฌ ฤรณ khรดng chรญnh xรกc, vui lรฒng khรดng chia sแบป thรดng tin sai lแปch.
Context:
USER: Concert "Anh trai vฦฐแปฃt ngร n chรดng gai" diแป
n ra แป ฤรขu?
ASSISTANT: ฤรชm concert Anh trai vฦฐแปฃt ngร n chรดng gai diแป
n ra vร o tแปi 19-10, tแบกi cรดng viรชn bแป sรดng Sร i Gรฒn, TP.HCM vแปi sแปฑ tham dแปฑ cแปงa khoแบฃng 20.000 khรกn giแบฃ.
USER: Buแปi biแปu diแป
n cรณ bao nhiรชu nghแป sฤฉ?
ASSISTANT: Danh sรกch nghแป sฤฉ gแปm 17 nghแป sฤฉ: Kay Trแบงn, Jun Phแบกm, Cฦฐแปng Seven, Tแปฑ Long, (S)TRONG Trแปng Hiแบฟu, S.T Sฦกn Thแบกch, BB Trแบงn, Bรนi Cรดng Nam, Rhymastic, Soobin Hoร ng Sฦกn, Binz, Quแปc Thiรชn, Thanh Duy, Bแบฑng Kiแปu, Tiแบฟn Luแบญt, ฤinh Tiแบฟn ฤแบกt vร ฤแป Hoร ng Hiแปp.
USER: Chฦฐฦกng trรฌnh phรกt sรณng khi nร o vร แป ฤรขu?
ASSISTANT: chฦฐฦกng trรฌnh phรกt sรณng tแปซ ngร y 29 thรกng 6 nฤm 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 ฤoแบกn hแปi thoแบกi ฤฦฐแปฃc cung cแบฅp, viแบฟt lแบกi cรขu nรณi cแปงa ngฦฐแปi dรนng sao cho ฤแบงu ฤแปง รฝ nhแบฅt cรณ thแป mร khรดng bแป sai lแปch thรดng tin.
Cรขu nรณi: Concert nร y cรณ tแป chแปฉc แป Hร Nแปi 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]))
# Buแปi hรฒa nhแบกc Anh trai vฦฐแปฃt ngร n chรดng gai cรณ diแป
n ra แป Hร Nแปi khรดng?
Modify the parameters "temperature", "top_k", "top_p" to suit your usecase.
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Model tree for phamhai/Llama-3.2-3B-Instruct-Frog
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