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Mistral 7B Instruct V0.3 GPTQ by Bourdin

 »  All LLMs  »  Bourdin  »  Mistral 7B Instruct V0.3 GPTQ   URL Share it on

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  4-bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Instruct   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Bourdin/Mistral-7B-Instruct-v0.3-GPTQ 

Mistral 7B Instruct V0.3 GPTQ Benchmarks

LLME Score: 0.20301
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 V0.3 GPTQ (Bourdin/Mistral-7B-Instruct-v0.3-GPTQ)

Mistral 7B Instruct V0.3 GPTQ Parameters and Internals

Model Type 
Large Language Model, Instruct fine-tuned
Additional Notes 
The Mistral 7B Instruct model is a quick demonstration that the base model can be easily fine-tuned to achieve compelling performance. It does not have any moderation mechanisms. Future improvements will focus on respecting guardrails for moderated outputs.
LLM NameMistral 7B Instruct V0.3 GPTQ
Repository 🤗https://huggingface.co/Bourdin/Mistral-7B-Instruct-v0.3-GPTQ 
Base Model(s)  Finetuned Mistral On Ads   not-lain/finetuned_mistral_on_ads
Model Size7b
Required VRAM4.2 GB
Updated2024-12-22
MaintainerBourdin
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

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Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB57367350
Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB152890
Mistral 7B Instruct V0.1 GPTQ32K / 4.2 GB16415178
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB147316
...tral 7B Instruct 32K GPTQ INT832K / 7.7 GB151
...ral 7B Instruct V0.3 GPTQ 4bit32K / 4.2 GB150
...stral 7B Instruct V0.3 GPTQ 8B32K / 7.7 GB130
...stral 7B Instruct V0.3 GPTQ 4B32K / 4.2 GB90
...nstruct V0.2 Neural Story GPTQ32K / 4.6 GB171
...olphin 2.6 Mistral 7B DPO GPTQ32K / 4.2 GB2259
Note: green Score (e.g. "73.2") means that the model is better than Bourdin/Mistral-7B-Instruct-v0.3-GPTQ.

Rank the Mistral 7B Instruct V0.3 GPTQ 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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