QCammel 70 X GGUF by TheBloke

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  Arxiv:2302.70971   Arxiv:2305.12031   Arxiv:2305.14314 Base model:augtoma/qcammel-70-... Base model:quantized:augtoma/q...   En   Gguf   Llama   Llama2   Pytorch   Qcammel-70   Quantized   Region:us

QCammel 70 X GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QCammel 70 X GGUF (TheBloke/qCammel-70-x-GGUF)
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QCammel 70 X GGUF Parameters and Internals

Model Type 
llama
Additional Notes 
The model is fine-tuned for academic medical knowledge and instruction-following capabilities. It's based on Llama-2 70B model and trained on a distilled dataset of 15,000 instructions.
Training Details 
Methodology:
QLoRA
Model Architecture:
Decoder-only transformer architecture based on Llama 2
Input Output 
Input Format:
Text
Output Format:
Text
LLM NameQCammel 70 X GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/qCammel-70-x-GGUF 
Model NameqCammel 70
Model Creatoraugtoma
Base Model(s)  QCammel 70 X   augtoma/qCammel-70-x
Required VRAM29.3 GB
Updated2025-08-23
MaintainerTheBloke
Model Typellama
Model Files  29.3 GB   36.1 GB   33.2 GB   29.9 GB   38.9 GB   41.4 GB   39.1 GB   47.5 GB   48.8 GB   47.5 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-70-x-GGUF.

Rank the QCammel 70 X 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124