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Mistral 2 7B by vicky4s4s

 »  All LLMs  »  vicky4s4s  »  Mistral 2 7B   URL Share it on

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Chatml   Conversational   Dataset:teknium/openhermes-2.5   Distillation   Dpo   En   Endpoints compatible   Finetuned   Gpt4   Instruct   Mistral   Region:us   Rlhf   Safetensors   Sharded   Synthetic data   Tensorflow
Model Card on HF 🤗: https://huggingface.co/vicky4s4s/mistral-2-7B 

Mistral 2 7B Benchmarks

LLME Score: 0.19061
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 2 7B (vicky4s4s/mistral-2-7B)

Mistral 2 7B Parameters and Internals

Model Type 
instruct, finetune, chatml, DPO, RLHF, GPT4, synthetic data, distillation
Supported Languages 
en (Unknown)
Training Details 
Data Volume:
1,000,000 instructions/chats of GPT-4 quality or better
Methodology:
DPO from Teknium/OpenHermes-2.5-Mistral-7B
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Release Notes 
Version:
Not specified
Date:
Not specified
Notes:
Initial release, showcasing improved performance across multiple benchmarks compared to its predecessor.
LLM NameMistral 2 7B
Repository 🤗https://huggingface.co/vicky4s4s/mistral-2-7B 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainervicky4s4s
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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MegaBeam Mistral 7B 300K282K / 14.4 GB563316
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Astral 256K 7B V2250K / 14.4 GB70
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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than vicky4s4s/mistral-2-7B.

Rank the Mistral 2 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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