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Airoboros C34b 3.1.2 8.0bpw H6 EXL2 by LoneStriker

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Airoboros C34b 3.1.2 8.0bpw H6 EXL2 is an open-source language model by LoneStriker. Features: LLM, VRAM: 34GB, Context: 16K, License: llama2, Quantized, LLM Explorer Score: 0.1.

  Conversational Dataset:jondurbin/airoboros-3....   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/airoboros-c34b-3.1.2-8.0bpw-h6-exl2 

Airoboros C34b 3.1.2 8.0bpw H6 EXL2 Benchmarks

LLME Score: 0.09967
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Airoboros C34b 3.1.2 8.0bpw H6 EXL2 (LoneStriker/airoboros-c34b-3.1.2-8.0bpw-h6-exl2)
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Airoboros C34b 3.1.2 8.0bpw H6 EXL2 Parameters and Internals

Model Type 
instruction following
Use Cases 
Areas:
Research, Instruction following
Applications:
Instruction following tasks, Math problem solving using MathJSON
Primary Use Cases:
Mathematical problem solving, Contextual Q&A, Summarization, Multi-step instruction following
Limitations:
Not suitable for casual chat/roleplay
Considerations:
Use a low temperature for math and context obedient question answering.
Additional Notes 
Configured for MathJSON and closed-context question answering. Use special prompts for chain-of-thought reasoning and execution planning.
Training Details 
Data Sources:
airoboros-3.1 dataset, airoboros-3.0 dataset
Methodology:
Self-instruct with synthetic data generation using OpenAI API calls to GPT-4
Model Architecture:
Llama2 chat format
Input Output 
Input Format:
Llama-2 chat format
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use a low temperature for better results. Use specific structured prompts for different tasks.
LLM NameAiroboros C34b 3.1.2 8.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/airoboros-c34b-3.1.2-8.0bpw-h6-exl2 
Required VRAM34 GB
Updated2026-03-29
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-4   8.6 GB: 2-of-4   8.4 GB: 3-of-4   8.4 GB: 4-of-4
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.34.1
Tokenizer ClassCodeLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/airoboros-c34b-3.1.2-8.0bpw-h6-exl2.

Rank the Airoboros C34b 3.1.2 8.0bpw H6 EXL2 Capabilities

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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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