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Browse files- .gitattributes +1 -0
- README.md +36 -3
- config.json +25 -0
- hash_record_sha256.json +4 -0
- starling-lm-7b-alpha.Q4_K_M.gguf +3 -0
.gitattributes
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README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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inference: false
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base_model: berkeley-nest/Starling-LM-7B-alpha
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base_model_relation: quantized
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tags: [green, p7, llmware-chat, gguf]
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---
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# starling-lm-7b-alpha-gguf
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**starling-lm-7b-alpha-gguf** is a GGUF Q4_K_M int4 quantized version of Berkeley Nest's popular finetune of mistral, providing a very fast, very small inference implementation.
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[**starling-lm-7b-alpha-gguf**](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha) is a leading chat finetuned version of mistral 7b.
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### Model Description
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- **Developed by:** berkeley-nest
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- **Quantized by:** llmware
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- **Model type:** mistral-7b
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- **Parameters:** 7 billion
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- **Model Parent:** berkeley-nest/Starling-LM-7B-alpha
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- **Language(s) (NLP):** English
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- **License:** Apache 2.0
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- **Uses:** General purpose chat
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- **RAG Benchmark Accuracy Score:** NA
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- **Quantization:** int4
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## Model Card Contact
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[llmware on github](https://www.github.com/llmware-ai/llmware)
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[llmware on hf](https://www.huggingface.co/llmware)
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[llmware website](https://www.llmware.ai)
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config.json
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{
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"_name_or_path": "openchat/openchat_3.5",
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"architectures": [
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"MistralForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 32000,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.35.0",
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"use_cache": true,
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"vocab_size": 32002
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}
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hash_record_sha256.json
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{
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"starling-lm-7b-alpha.Q4_K_M.gguf": "0951cbc1a6c3ed8d081db59366ccccf09ed52a4cfd5191812665b911fe6c669a",
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"time_stamp": "2025-02-11_003708"
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}
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starling-lm-7b-alpha.Q4_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:0951cbc1a6c3ed8d081db59366ccccf09ed52a4cfd5191812665b911fe6c669a
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size 4368450368
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