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Medguanaco 65B GPTQ by nmitchko

 »  All LLMs  »  nmitchko  »  Medguanaco 65B GPTQ   URL Share it on

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  Arxiv:2106.09685   Arxiv:2303.14070   Autotrain compatible Base model:finetune:thebloke/g... Base model:thebloke/guanaco-65...   En   Endpoints compatible   Gptq   Llama   Medical   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/nmitchko/medguanaco-65b-GPTQ 

Medguanaco 65B GPTQ Benchmarks

LLME Score: 0.08739
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Medguanaco 65B GPTQ (nmitchko/medguanaco-65b-GPTQ)
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Medguanaco 65B GPTQ Parameters and Internals

Model Type 
text-generation
Supported Languages 
en ()
Training Details 
Data Sources:
Anki flashcards, Wikidoc, StackExchange, ChatDoctor
Methodology:
Fine-tuning with LoRA and reduced to 8bit
Model Architecture:
LoRa fine-tuned large language model based on LLaMA.
LLM NameMedguanaco 65B GPTQ
Repository 🤗https://huggingface.co/nmitchko/medguanaco-65b-GPTQ 
Base Model(s)  Guanaco 65B GPTQ   TheBloke/guanaco-65B-GPTQ
Model Size65b
Required VRAM33.8 GB
Updated2025-09-23
Maintainernmitchko
Model Typellama
Model Files  10.0 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   4.0 GB: 4-of-4
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensecc
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Context / RAM
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...en Instruct Human Mix 65B GPTQ2K / 33.5 GB150
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Airoboros 65B Gpt4 1.3 GPTQ2K / 33.5 GB73
Airoboros 65B Gpt4 1.2 GPTQ2K / 33.5 GB1411
Dromedary 65B Lora GPTQ2K / 33.5 GB86
Gpt4 Alpaca Lora Mlp 65B GPTQ2K / 33.5 GB914
Airoboros 65B GPT4 2.0 GPTQ2K / 33.5 GB183
Airoboros 65B GPT4 M2.0 GPTQ2K / 33.5 GB202
...stage Llama1 65B Instruct GPTQ2K / 34.7 GB23
Note: green Score (e.g. "73.2") means that the model is better than nmitchko/medguanaco-65b-GPTQ.

Rank the Medguanaco 65B GPTQ 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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Release v20241124
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