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Airoboros 65B GPT4 M2.0 GGML by TheBloke

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Base model:finetune:jondurbin/... Base model:jondurbin/airoboros... Dataset:jondurbin/airoboros-gp...   Ggml   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Airoboros-65B-GPT4-m2.0-GGML 

Airoboros 65B GPT4 M2.0 GGML Benchmarks

LLME Score: 0.10073
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Airoboros 65B GPT4 M2.0 GGML (TheBloke/Airoboros-65B-GPT4-m2.0-GGML)
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Airoboros 65B GPT4 M2.0 GGML Parameters and Internals

Model Type 
llama
Additional Notes 
The 33b/65b models are QLoRA fine-tunes. Prompt structure plays a significant role in the model's performance and output.
Training Details 
Methodology:
Instruction fine-tuning using synthetic instructions generated by [airoboros](https://github.com/jondurbin/airoboros)
Model Architecture:
QLoRA fine-tunes; instruction fine-tuning llama-2 model
Input Output 
Input Format:
Prompt with 'USER: ' followed by user input and 'ASSISTANT: ' for system output.
Performance Tips:
Use explicit input delimiters for better context association and response accuracy.
LLM NameAiroboros 65B GPT4 M2.0 GGML
Repository 🤗https://huggingface.co/TheBloke/Airoboros-65B-GPT4-m2.0-GGML 
Model NameAiroboros 65B GPT4 m2.0
Model CreatorJon Durbin
Base Model(s)  jondurbin/airoboros-65b-gpt4-m2.0   jondurbin/airoboros-65b-gpt4-m2.0
Model Size65b
Required VRAM27.5 GB
Updated2025-09-16
MaintainerTheBloke
Model Typellama
Model Files  27.5 GB   34.6 GB   31.5 GB   28.2 GB   36.8 GB   40.9 GB   39.3 GB   36.8 GB   44.9 GB   49.0 GB   46.2 GB   44.9 GB
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Airoboros-65B-GPT4-m2.0-GGML.

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