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Merged16 Mistral 32 Large Grpo 5 Weak3 by Nitish035

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Conversational   En   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/Nitish035/merged16_mistral_32_large_grpo-5-weak3 

Merged16 Mistral 32 Large Grpo 5 Weak3 Benchmarks

LLME Score: 0.28143
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Merged16 Mistral 32 Large Grpo 5 Weak3 (Nitish035/merged16_mistral_32_large_grpo-5-weak3)
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Merged16 Mistral 32 Large Grpo 5 Weak3 Parameters and Internals

LLM NameMerged16 Mistral 32 Large Grpo 5 Weak3
Repository 🤗https://huggingface.co/Nitish035/merged16_mistral_32_large_grpo-5-weak3 
Base Model(s)  unsloth/mistral-7b-instruct-v0.3-bnb-4bit   unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2025-07-29
MaintainerNitish035
Model Typemistral
Instruction-BasedYes
Model Files  5.0 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 Version4.54.0
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Nitish035/merged16_mistral_32_large_grpo-5-weak3.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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