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Mistralai Mistral 7B Instruct V0.3 by grimjim

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistralai Mistral 7B Instruct V0.3 Benchmarks

LLME Score: 0.20538
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistralai Mistral 7B Instruct V0.3 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 NameMistralai Mistral 7B Instruct V0.3
Repository 🤗https://huggingface.co/grimjim/mistralai-Mistral-7B-Instruct-v0.3 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.3   mistralai/Mistral-7B-Instruct-v0.3
Model Size7b
Required VRAM14.5 GB
Updated2024-11-21
Maintainergrimjim
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16
Mistralai Mistral 7B Instruct V0.3 (grimjim/mistralai-Mistral-7B-Instruct-v0.3)

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Mistral 7B Instruct V0.332K / 14.5 GB5338441136
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Mistral 7B Instruct Uz0K / 14.5 GB1309
...phyr 7B Beta Agent Instruct V30K / 0.7 GB31
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Code Llama Python0K / 0.3 GB41
Note: green Score (e.g. "73.2") means that the model is better than grimjim/mistralai-Mistral-7B-Instruct-v0.3.

Rank the Mistralai Mistral 7B Instruct V0.3 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 v20241110
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