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ZephRP M7b AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  ZephRP M7b AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:quantized:royallab/...   Base model:royallab/zephrp-m7b   En   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/ZephRP-m7b-AWQ 

ZephRP M7b AWQ Benchmarks

LLME Score: 0.11392
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ZephRP M7b AWQ (TheBloke/ZephRP-m7b-AWQ)
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ZephRP M7b AWQ Parameters and Internals

Model Type 
mistral, text-generation
Use Cases 
Areas:
roleplaying chat scenarios
Limitations:
not intended for factual information or advice
Additional Notes 
The model combines message length instruction training of LimaRPv3 with Zephyr's capabilities. It shows biases similar to niche roleplaying forums.
Supported Languages 
en (full)
Training Details 
Data Sources:
LimaRP dataset
Methodology:
merge between zephyr-7b-alpha and PEFT adapter
Hardware Used:
single L40 GPU
Model Architecture:
Mistral-7B-v0.1-based
Input Output 
Input Format:
LimaRP-Alpaca format
Accepted Modalities:
text
Output Format:
text generation
LLM NameZephRP M7b AWQ
Repository 🤗https://huggingface.co/TheBloke/ZephRP-m7b-AWQ 
Model NameZephrp m7b
Model CreatorThe Royal Lab
Base Model(s)  ZephRP M7b   royallab/ZephRP-m7b
Model Size1.2b
Required VRAM4.2 GB
Updated2025-09-11
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/ZephRP-m7b-AWQ.

Rank the ZephRP M7b AWQ 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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Release v20241124
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