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Mistral 7B Roleplay Alpaca Lora by Undi95

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Mistral 7B Roleplay Alpaca Lora is an open-source language model by Undi95. Features: 7b LLM, VRAM: 2.7GB, LLM Explorer Score: 0.1.

  8-bit   Bitsandbytes   Endpoints compatible   Generated from trainer   Llama   Lora   Region:us
Model Card on HF 🤗: https://huggingface.co/Undi95/Mistral-7B-roleplay_alpaca-lora 

Mistral 7B Roleplay Alpaca Lora Benchmarks

LLME Score: 0.09745
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Roleplay Alpaca Lora (Undi95/Mistral-7B-roleplay_alpaca-lora)
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Mistral 7B Roleplay Alpaca Lora Parameters and Internals

Additional Notes 
The model was trained using a learning rate of 0.00065 with an Adam optimizer. Training was conducted with a batch size of 2 for 1 epoch with a constant learning rate schedule and 10 warm-up steps.
Training Details 
Data Sources:
https://huggingface.co/datasets/TokenBender/roleplay_alpaca
Data Volume:
Unknown
LLM NameMistral 7B Roleplay Alpaca Lora
Repository 🤗https://huggingface.co/Undi95/Mistral-7B-roleplay_alpaca-lora 
Model Size7b
Required VRAM2.7 GB
Updated2026-01-23
MaintainerUndi95
Model Files  2.7 GB
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassLlamaTokenizer
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|k_proj|up_proj|q_proj|v_proj|down_proj|o_proj
LoRA Alpha16
LoRA Dropout0.05
R Param256

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Note: green Score (e.g. "73.2") means that the model is better than Undi95/Mistral-7B-roleplay_alpaca-lora.

Rank the Mistral 7B Roleplay Alpaca Lora 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  
Code Generation  
Multi-Language Support and Translation  

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