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Nous Capybara 7B V1.9 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   Mistral   Pytorch   Region:us   Sft   Sharded   Stablelm
Model Card on HF 🤗: https://huggingface.co/NousResearch/Nous-Capybara-7B-V1.9 

Nous Capybara 7B V1.9 Benchmarks

LLME Score: 0.13587
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nous Capybara 7B V1.9 (NousResearch/Nous-Capybara-7B-V1.9)
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Nous Capybara 7B V1.9 Parameters and Internals

Model Type 
Text generation, Instruction-following
Use Cases 
Areas:
Research, Commercial applications
Applications:
Instruction-following tasks, Advanced topic summaries
Primary Use Cases:
Complex summaries, In-depth information recall
Limitations:
Model outputs could contain inaccuracies
Considerations:
Recommended usage format is USER: ASSISTANT:
Additional Notes 
Model leverages novel unalignment techniques and enhanced quality curation.
Supported Languages 
English (Proficient), Other Languages (Unknown)
Training Details 
Data Sources:
LDJnr/Capybara, LDJnr/LessWrong-Amplify-Instruct, LDJnr/Pure-Dove, LDJnr/Verified-Camel
Data Volume:
20,000 examples
Methodology:
Amplify-instruct data synthesis
Input Output 
Input Format:
USER: PROMPT:
Accepted Modalities:
text
Output Format:
Conversational text
LLM NameNous Capybara 7B V1.9
Repository 🤗https://huggingface.co/NousResearch/Nous-Capybara-7B-V1.9 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
MaintainerNousResearch
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Nous Capybara 7B V1.9

Model
Likes
Downloads
VRAM
Nous Capybara 7B V1.9 GGUF295703 GB
Nous Capybara 7B V1.9 GPTQ374 GB
Nous Capybara 7B V1.9 AWQ154 GB

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Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than NousResearch/Nous-Capybara-7B-V1.9.

Rank the Nous Capybara 7B V1.9 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 v20241124
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