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QCammel 13 by augtoma

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QCammel 13 is an open-source language model by augtoma. Features: LLM, VRAM: 26GB, Context: 4K, License: other, LLM Explorer Score: 0.12, Arc: 60.8, HellaSwag: 83.7, MMLU: 56.7, GSM8K: 11.4.

  Arxiv:2302.13971   Arxiv:2305.12031   Arxiv:2305.14314   En   Llama   Llama2   Pytorch   Qcammel-13   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/augtoma/qCammel-13 

QCammel 13 Benchmarks

ARC: 60.84 vs 96.7 (so35)-37.1%
HellaSwag: 83.66 vs 95.3 (gpt4)-12.2%
MMLU: 56.73 vs 88.3 (so35)-35.8%
GSM8K: 11.37 vs 96.4 (so35)-88.2%
LLME Score: 0.11617
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QCammel 13 (augtoma/qCammel-13)
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QCammel 13 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
academic medical knowledge, instruction-following
Additional Notes 
The model is optimized for academic medical knowledge and instruction-following capabilities.
Supported Languages 
en (proficient)
Training Details 
Data Volume:
15,000 instructions
Methodology:
Fine-tuned using QLoRA
Model Architecture:
Auto-regressive language model, decoder only transformer
Input Output 
Input Format:
text only
Accepted Modalities:
text
Output Format:
text only
LLM NameQCammel 13
Repository 🤗https://huggingface.co/augtoma/qCammel-13 
Required VRAM26 GB
Updated2026-05-25
Maintaineraugtoma
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the QCammel 13

Model
Likes
Downloads
VRAM
QCammel 13 GGUF39245 GB
QCammel 13 AWQ1167 GB
QCammel 13 GGML8135 GB
QCammel 13 GPTQ3107 GB

Best Alternatives to QCammel 13

Best Alternatives
Context / RAM
Downloads
Likes
LWM Text 512K512K / 13.5 GB132
LWM Text Chat 512K512K / 13.5 GB112
LWM Text 256K256K / 13.5 GB123
LWM Text Chat 256K256K / 13.5 GB103
Pallas 0.5 LASER 0.1195K / 68.9 GB10402
Veena128K / 7.6 GB3406232
SnorTTS Indic V0128K / 9.5 GB85921
Llama 3.1 Medprm Reward V1.0128K / 16.1 GB66716
Orpheus AUS128K /  GB50
Finetuning Health Ci128K / 6.5 GB32
Note: green Score (e.g. "73.2") means that the model is better than augtoma/qCammel-13.

Rank the QCammel 13 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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