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Airoboros 65B Gpt4 2.0 by jondurbin

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Airoboros 65B Gpt4 2.0 is an open-source language model by jondurbin. Features: 65b LLM, VRAM: 130.4GB, Context: 2K, License: cc-by-nc-4.0, HF Score: 61.1, LLM Explorer Score: 0.12, Arc: 66.8, HellaSwag: 86.7, MMLU: 63.4, TruthfulQA: 49.2, WinoGrande: 80.3, GSM8K: 20.6.

  Autotrain compatible Dataset:jondurbin/airoboros-gp...   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/jondurbin/airoboros-65b-gpt4-2.0 

Airoboros 65B Gpt4 2.0 Benchmarks

ARC: 66.81 vs 96.7 (so35)-30.9%
HellaSwag: 86.66 vs 95.3 (gpt4)-9.1%
MMLU: 63.41 vs 88.3 (so35)-28.2%
TruthfulQA: 49.17 vs 59 (gpt4)-16.7%
WinoGrande: 80.27 vs 87.5 (gpt4)-8.3%
GSM8K: 20.55 vs 96.4 (so35)-78.7%
LLME Score: 0.12016
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 2.0 (jondurbin/airoboros-65b-gpt4-2.0)
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Airoboros 65B Gpt4 2.0 Parameters and Internals

Model Type 
instruction fine-tuned, text generation
Additional Notes 
The model is trained on datasets generated by OpenAI API calls to GPT-4 via Airoboros.
Training Details 
Data Sources:
jondurbin/airoboros-gpt4-m2.0
Methodology:
instruction fine-tuning with synthetic instructions
Input Output 
Input Format:
A chat format where the user's input is followed by 'USER: ' and the assistant's response by 'ASSISTANT: '.
Accepted Modalities:
text
Output Format:
text response based on user's input
Performance Tips:
Closed-context prompts can reduce hallucinations, and explicit delimiters help the model understand context associations.
LLM NameAiroboros 65B Gpt4 2.0
Repository 🤗https://huggingface.co/jondurbin/airoboros-65b-gpt4-2.0 
Model Size65b
Required VRAM130.4 GB
Updated2025-09-23
Maintainerjondurbin
Model Typellama
Model Files  9.9 GB: 1-of-14   9.7 GB: 2-of-14   9.7 GB: 3-of-14   9.7 GB: 4-of-14   9.7 GB: 5-of-14   9.7 GB: 6-of-14   9.7 GB: 7-of-14   9.7 GB: 8-of-14   9.7 GB: 9-of-14   9.7 GB: 10-of-14   9.7 GB: 11-of-14   9.7 GB: 12-of-14   9.7 GB: 13-of-14   4.1 GB: 14-of-14
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Airoboros 65B Gpt4 2.0

Model
Likes
Downloads
VRAM
Airoboros 65B GPT4 2.0 GPTQ31033 GB
Airoboros 65B GPT4 2.0 GGML2327 GB

Best Alternatives to Airoboros 65B Gpt4 2.0

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Lite Oute 1 65M Instruct2K / 0.3 GB1712
Lite Oute 1 65M2K / 0.3 GB1311
StableBeluga1 Delta2K / 130.4 GB84756
Airoboros 65B Gpt4 M2.02K / 130.4 GB10960
Openbuddy Llama 65B V8 Bf162K / 130.6 GB8409
UltraLM 65B2K / 130.4 GB10269
Llama 65B Instruct2K / 130.4 GB102214
Airoboros 65B Gpt4 1.22K / 130.4 GB138422
Airoboros 65B Gpt4 1.42K / 130.4 GB79317
Airoboros 65B Gpt4 1.32K / 130.4 GB8851
Note: green Score (e.g. "73.2") means that the model is better than jondurbin/airoboros-65b-gpt4-2.0.

Rank the Airoboros 65B Gpt4 2.0 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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