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Mistral 7B Instruct V0.2 DARE GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  Mistral 7B Instruct V0.2 DARE GPTQ   URL Share it on

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  4-bit   Autotrain compatible Base model:jan-hq/mistral-7b-i... Base model:quantized:jan-hq/mi...   Conversational   En   Gptq   Instruct   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-DARE-GPTQ 

Mistral 7B Instruct V0.2 DARE GPTQ Benchmarks

LLME Score: 0.12625
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct V0.2 DARE GPTQ (TheBloke/Mistral-7B-Instruct-v0.2-DARE-GPTQ)
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Mistral 7B Instruct V0.2 DARE GPTQ Parameters and Internals

Model Type 
mistral
Supported Languages 
en (English)
LLM NameMistral 7B Instruct V0.2 DARE GPTQ
Repository 🤗https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-DARE-GPTQ 
Model NameMistral 7B Instruct V0.2 DARE
Model CreatorJan
Base Model(s)  janhq/Mistral-7B-Instruct-v0.2-DARE   janhq/Mistral-7B-Instruct-v0.2-DARE
Model Size7b
Required VRAM4.2 GB
Updated2025-09-16
MaintainerTheBloke
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB554422
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Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB4501
Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB777853
Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB60
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB60
...tral 7B Instruct 32K GPTQ INT832K / 7.7 GB61
...stral 7B Instruct V0.3 GPTQ 8B32K / 7.7 GB51
...stral 7B Instruct V0.3 GPTQ 4B32K / 4.2 GB60
...nstruct V0.2 Neural Story GPTQ32K / 4.6 GB41
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mistral-7B-Instruct-v0.2-DARE-GPTQ.

Rank the Mistral 7B Instruct V0.2 DARE GPTQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20241124
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