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Mistral 7B Claude Chat AWQ by mrsteyk

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  Autotrain compatible   Awq Dataset:norquinal/claude multi...   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mrsteyk/Mistral-7B-claude-chat-AWQ 

Mistral 7B Claude Chat AWQ Benchmarks

LLME Score: 0.11294
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Claude Chat AWQ (mrsteyk/Mistral-7B-claude-chat-AWQ)
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Mistral 7B Claude Chat AWQ Parameters and Internals

Model Type 
chatbot
Additional Notes 
AWQ quant with `pileeval` indicates model quantization details: zero-point quantization is true, quantization group size is 128, weight bit is 4, and version is 'GEMM'.
Training Details 
Data Sources:
Norquinal/claude_multiround_chat_1k
LLM NameMistral 7B Claude Chat AWQ
Repository 🤗https://huggingface.co/mrsteyk/Mistral-7B-claude-chat-AWQ 
Base Model(s)  Mistral 7B Claude Chat   Norquinal/Mistral-7B-claude-chat
Model Size7b
Required VRAM4.2 GB
Updated2025-09-11
Maintainermrsteyk
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than mrsteyk/Mistral-7B-claude-chat-AWQ.

Rank the Mistral 7B Claude Chat AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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