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Airoboros Jamba 3 3 by jondurbin

 »  All LLMs  »  jondurbin  »  Airoboros Jamba 3 3   URL Share it on

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  Autotrain compatible   Conversational   Custom code Dataset:bluemoon-fandom-1-1-rp...   Dataset:boolq Dataset:glaiveai/glaive-functi... Dataset:grimulkan/limarp-augme... Dataset:jondurbin/airoboros-3.... Dataset:jondurbin/cinematika-v... Dataset:jondurbin/gutenberg-dp...   Dataset:ldjnr/capybara Dataset:mattpscott/airoboros-s...   Dataset:piqa Dataset:unalignment/toxic-dpo-... Dataset:vezora/tested-22k-pyth...   Endpoints compatible   Jamba   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jondurbin/airoboros-jamba-3-3 

Airoboros Jamba 3 3 Benchmarks

LLME Score: 0.14527
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Airoboros Jamba 3 3 (jondurbin/airoboros-jamba-3-3)
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Airoboros Jamba 3 3 Parameters and Internals

Model Type 
text generation
Additional Notes 
Using explicit delimiters helps the model understand context associations better.
Training Details 
Data Sources:
jondurbin/airoboros-3.2, bluemoon-fandom-1-1-rp-cleaned, boolq, jondurbin/gutenberg-dpo-v0.1, LDJnr/Capybara, jondurbin/cinematika-v0.1, glaiveai/glaive-function-calling-v2, grimulkan/LimaRP-augmented, piqa, Vezora/Tested-22k-Python-Alpaca, mattpscott/airoboros-summarization, unalignment/toxic-dpo-v0.2
Data Volume:
8192 context length
Methodology:
QLoRA fine-tuning
Context Length:
8192
Input Output 
Input Format:
LLaMA-2 chat format
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use a very low temperature for context-obedient question answering.
LLM NameAiroboros Jamba 3 3
Repository 🤗https://huggingface.co/jondurbin/airoboros-jamba-3-3 
Model Size51.6b
Required VRAM103.6 GB
Updated2025-09-23
Maintainerjondurbin
Model Typejamba
Model Files  3.9 GB: 1-of-27   4.0 GB: 2-of-27   4.0 GB: 3-of-27   3.9 GB: 4-of-27   3.9 GB: 5-of-27   3.9 GB: 6-of-27   4.0 GB: 7-of-27   4.0 GB: 8-of-27   4.0 GB: 9-of-27   4.0 GB: 10-of-27   3.9 GB: 11-of-27   4.0 GB: 12-of-27   4.0 GB: 13-of-27   4.0 GB: 14-of-27   4.0 GB: 15-of-27   4.0 GB: 16-of-27   3.9 GB: 17-of-27   4.0 GB: 18-of-27   4.0 GB: 19-of-27   4.0 GB: 20-of-27   4.0 GB: 21-of-27   4.0 GB: 22-of-27   3.9 GB: 23-of-27   4.0 GB: 24-of-27   4.0 GB: 25-of-27   3.8 GB: 26-of-27   0.5 GB: 27-of-27
Model ArchitectureJambaForCausalLM
Licenseapache-2.0
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<|pad|>
Vocabulary Size65536
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jondurbin/airoboros-jamba-3-3.

Rank the Airoboros Jamba 3 3 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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