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Mistral Rank32 Sft by chatty123

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Mistral Rank32 Sft is an open-source language model by chatty123. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, HF Score: 59.4, LLM Explorer Score: 0.15, Arc: 55, HellaSwag: 81, MMLU: 60.4, TruthfulQA: 48, WinoGrande: 77, GSM8K: 35.

  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Conversational   En   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/chatty123/mistral_rank32_sft 

Mistral Rank32 Sft Benchmarks

ARC: 54.95 vs 96.7 (so35)-43.2%
HellaSwag: 80.97 vs 95.3 (gpt4)-15%
MMLU: 60.42 vs 88.3 (so35)-31.6%
TruthfulQA: 48.02 vs 59 (gpt4)-18.6%
WinoGrande: 77.03 vs 87.5 (gpt4)-12%
GSM8K: 34.95 vs 96.4 (so35)-63.7%
LLME Score: 0.14769
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Rank32 Sft (chatty123/mistral_rank32_sft)
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Mistral Rank32 Sft Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl, sft
LLM NameMistral Rank32 Sft
Repository 🤗https://huggingface.co/chatty123/mistral_rank32_sft 
Base Model(s)  unsloth/mistral-7b-instruct-v0.2-bnb-4bit   unsloth/mistral-7b-instruct-v0.2-bnb-4bit
Model Size7b
Required VRAM14.4 GB
Updated2025-09-19
Maintainerchatty123
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Mistral 7B Instruct V0.2 8bit32K / 7.6 GB41
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Mixtral V0.3 Full 16bit32K / 14.5 GB60
Mistral 7B Instruct V0.3 4bit32K / 4.1 GB250538
... 7B Instruct V0.3ContinuedFine32K / 14.5 GB130
...eMistral 7B Instruct Ead 16bit32K / 14.5 GB380
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Note: green Score (e.g. "73.2") means that the model is better than chatty123/mistral_rank32_sft.

Rank the Mistral Rank32 Sft 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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