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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
Model Card on HF 🤗: https://huggingface.co/NousResearch/Nous-Capybara-34B 

Nous Capybara 34B Benchmarks

LLME Score: 0.1893
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)

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 🤗https://huggingface.co/NousResearch/Nous-Capybara-34B 
Model Size34b
Required VRAM68.9 GB
Updated2025-03-20
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 GGUF165318414 GB
Nous Capybara 34B GPTQ203718 GB
Nous Capybara 34B AWQ14919 GB

Best Alternatives to Nous Capybara 34B

Best Alternatives
Context / RAM
Downloads
Likes
Casual Magnum 34B195K / 68.8 GB191
Yi 34B 200K195K / 68.9 GB7385318
Bagel 34B V0.2195K / 68.7 GB646541
34B Beta195K / 69.2 GB176263
Bagel Hermes 34B Slerp195K / 68.9 GB20001
Smaug 34B V0.1195K / 69.2 GB175560
Yi 34B 200K AEZAKMI V2195K / 69.2 GB211512
Mergekit Slerp Anaazls195K / 69.2 GB60
Faro Yi 34B195K / 69.2 GB17896
Dolphin 2.2 Yi 34B 200K195K / 69.2 GB207736
Note: green Score (e.g. "73.2") means that the model is better than NousResearch/Nous-Capybara-34B.

Rank the Nous Capybara 34B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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