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QCammel 13 GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  QCammel 13 GGUF   URL Share it on

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  Arxiv:2302.13971   Arxiv:2305.12031   Arxiv:2305.14314   Base model:augtoma/qcammel-13 Base model:quantized:augtoma/q...   En   Gguf   Llama   Llama2   Pytorch   Qcammel-13   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/qCammel-13-GGUF 

QCammel 13 GGUF Benchmarks

LLME Score: 0.11007
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QCammel 13 GGUF (TheBloke/qCammel-13-GGUF)
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QCammel 13 GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Primary Use Cases:
Optimized for academic medical knowledge and instruction-following capabilities
Additional Notes 
The model is a fine-tuned version of Llama-2 13B.
Training Details 
Data Volume:
15,000 instructions
Methodology:
QLoRA
Model Architecture:
Auto-regressive language model using a decoder-only transformer architecture.
Input Output 
Input Format:
Text only
Output Format:
Text only
LLM NameQCammel 13 GGUF
Repository 🤗https://huggingface.co/TheBloke/qCammel-13-GGUF 
Model NameqCammel 13
Model Creatoraugtoma
Base Model(s)  QCammel 13   augtoma/qCammel-13
Required VRAM5.4 GB
Updated2025-08-23
MaintainerTheBloke
Model Typellama
Model Files  5.4 GB   6.9 GB   6.3 GB   5.7 GB   7.4 GB   7.9 GB   7.4 GB   9.0 GB   9.2 GB   9.0 GB   10.7 GB   13.8 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/qCammel-13-GGUF.

Rank the QCammel 13 GGUF 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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