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Mistral 7B Sft Beta by HuggingFaceH4

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Mistral 7B Sft Beta is an open-source language model by HuggingFaceH4. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: mit, HF Score: 59.8, LLM Explorer Score: 0.14, Arc: 57.4, HellaSwag: 82.2, MMLU: 61.4, TruthfulQA: 43.6, WinoGrande: 77.6, GSM8K: 36.5.

Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational Dataset:huggingfaceh4/ultracha...   En   Endpoints compatible   Generated from trainer   Mistral   Pytorch   Region:us   Sharded   Tensorboard   Tensorflow
Model Card on HF 🤗: https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta 

Mistral 7B Sft Beta Benchmarks

ARC: 57.42 vs 96.7 (so35)-40.6%
HellaSwag: 82.23 vs 95.3 (gpt4)-13.7%
MMLU: 61.42 vs 88.3 (so35)-30.4%
TruthfulQA: 43.58 vs 59 (gpt4)-26.1%
WinoGrande: 77.58 vs 87.5 (gpt4)-11.3%
GSM8K: 36.47 vs 96.4 (so35)-62.2%
LLME Score: 0.14304
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 Beta (HuggingFaceH4/mistral-7b-sft-beta)
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Mistral 7B Sft Beta Parameters and Internals

Model Type 
GPT-like, text generation
Supported Languages 
English (Primary)
Training Details 
Data Sources:
HuggingFaceH4/ultrachat_200k
Methodology:
Direct Preference Optimization, fine-tuning
LLM NameMistral 7B Sft Beta
Repository 🤗https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2026-04-05
MaintainerHuggingFaceH4
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
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mistral 7B Sft Beta

Model
Likes
Downloads
VRAM
Mistral 7B Sft Beta GGUF0502 GB

Best Alternatives to Mistral 7B Sft Beta

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
MegaBeam Mistral 7B 512K512K / 14.4 GB810354
SpydazWeb AI HumanAI RP512K / 14.4 GB141
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
MegaBeam Mistral 7B 300K282K / 14.4 GB785016
Hebrew Mistral 7B 200K256K / 30 GB125115
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 HuggingFaceH4/mistral-7b-sft-beta.

Rank the Mistral 7B Sft Beta 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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