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Zephyr Sft Bnb 4bit DPO Mtbc 213steps by sonthenguyen

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  4bit   Autotrain compatible   Conversational   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps 

Zephyr Sft Bnb 4bit DPO Mtbc 213steps Benchmarks

MMLU Pro: 18.98
GPQA: 1.57
MUSR: 9.58
BBH: 19.67
IFEval: 42.75 vs 88 (so35)-51.4%
MATH Lvl 5: 2.57
LLME Score: 0.22211
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr Sft Bnb 4bit DPO Mtbc 213steps (sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps)
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Zephyr Sft Bnb 4bit DPO Mtbc 213steps Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model was trained 2x faster using Unsloth and Huggingface's TRL library.
Supported Languages 
en (primary)
LLM NameZephyr Sft Bnb 4bit DPO Mtbc 213steps
Repository 🤗https://huggingface.co/sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps 
Model Size7.2b
Required VRAM14.4 GB
Updated2025-09-23
Maintainersonthenguyen
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.45.1
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than sonthenguyen/zephyr-sft-bnb-4bit-DPO-mtbc-213steps.

Rank the Zephyr Sft Bnb 4bit DPO Mtbc 213steps 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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