MistralOrcaPCFT by areegtarek

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  4-bit   Autotrain compatible Base model:open-orca/mistral-7... Base model:quantized:open-orca...   Bitsandbytes   Conversational   En   Endpoints compatible   Lora   Mistral   Region:us   Safetensors   Sft   Trl   Unsloth

MistralOrcaPCFT Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MistralOrcaPCFT (areegtarek/MistralOrcaPCFT)
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MistralOrcaPCFT Parameters and Internals

Additional Notes 
This Mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
LLM NameMistralOrcaPCFT
Repository ๐Ÿค—https://huggingface.co/areegtarek/MistralOrcaPCFT 
Base Model(s)  Mistral 7B OpenOrca   Open-Orca/Mistral-7B-OpenOrca
Model Size7b
Required VRAM0.3 GB
Updated2025-09-23
Maintainerareegtarek
Model Files  0.3 GB   4.1 GB
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|v_proj|up_proj|k_proj|down_proj|o_proj|q_proj
LoRA Alpha64
LoRA Dropout0.1
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than areegtarek/MistralOrcaPCFT.

Rank the MistralOrcaPCFT Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124