Nous Capybara 34B by NousResearch

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  Autotrain compatible   Dataset:ldjnr/capybara Dataset:ldjnr/lesswrong-amplif...   Dataset:ldjnr/pure-dove   Dataset:ldjnr/verified-camel   Endpoints compatible   Eng   Llama   Pytorch   Region:us   Sft   Sharded   Yi-34b-200k

Nous Capybara 34B Benchmarks

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 (NousResearch/Nous-Capybara-34B)
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Nous Capybara 34B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
text generation, complex summaries
Additional Notes 
Part of the Capybara series, first 34B model with 200K context length, trained with a unique dataset synthesis technique using seed instructions from various noteworthy sources.
Training Details 
Data Sources:
LDJnr/Capybara, LDJnr/LessWrong-Amplify-Instruct, LDJnr/Pure-Dove, LDJnr/Verified-Camel, Airoboros, Know_Logic
Data Volume:
20K training examples
Methodology:
Fine-tuning with Amplify-instruct synthesis technique
Context Length:
200000
Input Output 
Input Format:
USER:
Output Format:
ASSISTANT:
LLM NameNous Capybara 34B
Repository ๐Ÿค—https://huggingface.co/NousResearch/Nous-Capybara-34B 
Model Size34b
Required VRAM68.9 GB
Updated2025-09-14
MaintainerNousResearch
Model Typellama
Model Files  10.0 GB: 1-of-7   9.9 GB: 2-of-7   9.8 GB: 3-of-7   9.8 GB: 4-of-7   9.8 GB: 5-of-7   9.9 GB: 6-of-7   9.7 GB: 7-of-7
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length200000
Model Max Length200000
Transformers Version4.34.1
Tokenizer ClassYiTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

Quantized Models of the Nous Capybara 34B

Model
Likes
Downloads
VRAM
Nous Capybara 34B GGUF167200214 GB
Nous Capybara 34B GPTQ201718 GB
Nous Capybara 34B AWQ141819 GB

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Casual Magnum 34B195K / 68.8 GB91
Bagel 34B V0.2195K / 68.7 GB399041
Yi 34B 200K AEZAKMI V2195K / 69.2 GB180012
Smaug 34B V0.1 ExPO195K / 69.2 GB91070
Faro Yi 34B195K / 69.2 GB97066
Bagel DPO 34B V0.5195K / 68.7 GB911817
Note: green Score (e.g. "73.2") means that the model is better than NousResearch/Nous-Capybara-34B.

Rank the Nous Capybara 34B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124