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- config.json +27 -0
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: Qwen/Qwen2-7B-Instruct
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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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# qwen-2-7b-instruct-gguf
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**qwen-2-7b-instruct-gguf** is Q4_K_M (int 4) quantized version of Qwen2 7b Instruct, providing a very fast, very small inference implementation, optimized for AI PCs.
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[**qwen-2-7b-instruct-gguf**](https://huggingface.co/Qwen/Qwen2-7B-Instruct) is a leading chat model known for its high accuracy and strong math and logical capabilities.
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### Model Description
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- **Developed by:** Qwen
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- **Quantized by:** llmware
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- **Model type:** qwen2-7b-instruct
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- **Parameters:** 7 billion
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- **Model Parent:** Qwen/Qwen2-7B-Instruct
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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:** Q4_K_M
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## Model Card Contact
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[llmware on github](https://www.huggingface.co/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": "Qwen/Qwen2-7B-Instruct",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"max_position_embeddings": 32768,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sliding_window": 131072,
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"tie_word_embeddings": false,
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"transformers_version": "4.41.2",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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