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Mistral 7B Sft Ultrachat Arithmo Full by lewtun

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Mistral 7B Sft Ultrachat Arithmo Full is an open-source language model by lewtun. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.1.

Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational Dataset:akjindal53244/arithmo-...   Dataset:stingning/ultrachat   Endpoints compatible   Generated from trainer   Mistral   Pytorch   Region:us   Sharded   Tensorboard   Tensorflow
Model Card on HF 🤗: https://huggingface.co/lewtun/mistral-7b-sft-ultrachat-arithmo-full 

Mistral 7B Sft Ultrachat Arithmo Full Benchmarks

LLME Score: 0.10047
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Sft Ultrachat Arithmo Full (lewtun/mistral-7b-sft-ultrachat-arithmo-full)
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Mistral 7B Sft Ultrachat Arithmo Full Parameters and Internals

Model Type 
fine-tuned, text-generation
Use Cases 
Considerations:
More information needed
Additional Notes 
Model needs more information on intended uses and training data.
Training Details 
Data Sources:
stingning/ultrachat, akjindal53244/Arithmo-Data
LLM NameMistral 7B Sft Ultrachat Arithmo Full
Repository 🤗https://huggingface.co/lewtun/mistral-7b-sft-ultrachat-arithmo-full 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2026-03-29
Maintainerlewtun
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2   9.9 GB: 1-of-2   4.5 GB: 2-of-2   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Astral 256K 7B V2250K / 14.4 GB50
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than lewtun/mistral-7b-sft-ultrachat-arithmo-full.

Rank the Mistral 7B Sft Ultrachat Arithmo Full 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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