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Nous Capybara 34B 6.0bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Nous Capybara 34B 6.0bpw H6 EXL2   URL Share it on

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  Autotrain compatible Dataset:ldjnr/lesswrong-amplif...   Dataset:ldjnr/pure-dove   Dataset:ldjnr/verified-camel   Endpoints compatible   Eng   Exl2   Llama   Pytorch   Quantized   Region:us   Sft   Sharded   Stablelm   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Nous-Capybara-34B-6.0bpw-h6-exl2 

Nous Capybara 34B 6.0bpw H6 EXL2 Benchmarks

LLME Score: 0.14116
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nous Capybara 34B 6.0bpw H6 EXL2 (LoneStriker/Nous-Capybara-34B-6.0bpw-h6-exl2)

Nous Capybara 34B 6.0bpw H6 EXL2 Parameters and Internals

Model Type 
text generation, multi-modal
Training Details 
Data Sources:
LDJnr/LessWrong-Amplify-Instruct, LDJnr/Pure-Dove, LDJnr/Verified-Camel, Airoboros, Know_logic, EverythingLM, GPTeacher, LessWrong
Data Volume:
20K training examples
Methodology:
Amplify-instruct
Context Length:
200000
Input Output 
Input Format:
USER: ASSISTANT:
Accepted Modalities:
text, multi-modal
LLM NameNous Capybara 34B 6.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Nous-Capybara-34B-6.0bpw-h6-exl2 
Model Size34b
Required VRAM26.5 GB
Updated2025-03-12
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-4   8.6 GB: 2-of-4   8.6 GB: 3-of-4   0.7 GB: 4-of-4
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length200000
Model Max Length200000
Transformers Version4.34.1
Tokenizer ClassYiTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Nous-Capybara-34B-6.0bpw-h6-exl2.

Rank the Nous Capybara 34B 6.0bpw H6 EXL2 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 v20241227
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