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Mistral 7B Unsloth Gptq 8bit by acl-srw-2024

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Mistral 7B Unsloth Gptq 8bit is an open-source language model by acl-srw-2024. Features: 7b LLM, VRAM: 7.7GB, Context: 32K, Quantized, LLM Explorer Score: 0.14.

  8-bit   8bit   Autotrain compatible   Endpoints compatible   Gptq   Mistral   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/acl-srw-2024/mistral-7b-unsloth-gptq-8bit 

Mistral 7B Unsloth Gptq 8bit Benchmarks

LLME Score: 0.13995
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Unsloth Gptq 8bit (acl-srw-2024/mistral-7b-unsloth-gptq-8bit)
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Mistral 7B Unsloth Gptq 8bit Parameters and Internals

LLM NameMistral 7B Unsloth Gptq 8bit
Repository 🤗https://huggingface.co/acl-srw-2024/mistral-7b-unsloth-gptq-8bit 
Model Size7b
Required VRAM7.7 GB
Updated2025-09-23
Maintaineracl-srw-2024
Model Typemistral
Model Files  7.7 GB
GPTQ QuantizationYes
Quantization Typegptq|8bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typefloat16

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...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB683923
Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB4736054
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB294618
...ephyr 7B Beta Channelwise Gptq32K / 4 GB27980
...istral 7B Pruned50 GPTQ Marlin32K / 4 GB60
Cosmosage V232K / 4.2 GB104
...phyr 7B Beta Assistant V1 Gptq32K / 4.2 GB31
Note: green Score (e.g. "73.2") means that the model is better than acl-srw-2024/mistral-7b-unsloth-gptq-8bit.

Rank the Mistral 7B Unsloth Gptq 8bit Capabilities

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

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