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Nous Capybara 7B V1.9 AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Nous Capybara 7B V1.9 AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:nousresearch/nous-c... Base model:quantized:nousresea... Dataset:ldjnr/lesswrong-amplif...   Dataset:ldjnr/pure-dove   Dataset:ldjnr/verified-camel   Eng   Mistral   Quantized   Region:us   Safetensors   Sft   Stablelm
Model Card on HF 🤗: https://huggingface.co/TheBloke/Nous-Capybara-7B-v1.9-AWQ 

Nous Capybara 7B V1.9 AWQ Benchmarks

LLME Score: 0.11955
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 AWQ (TheBloke/Nous-Capybara-7B-v1.9-AWQ)
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Nous Capybara 7B V1.9 AWQ Parameters and Internals

Model Type 
mistral
Additional Notes 
Nous Capybara 7B v1.9 employs novel unalignment techniques and advanced data curation leading to enhanced capabilities using lesser data volumes. Multi-modal versions are in development.
Supported Languages 
eng (Proficient)
Training Details 
Data Sources:
LDJnr/LessWrong-Amplify-Instruct, LDJnr/Pure-Dove, LDJnr/Verified-Camel
Data Volume:
20,000 examples
Methodology:
Amplify-instruct
Model Architecture:
Based on Mistral architecture
Input Output 
Input Format:
USER: {prompt}
Accepted Modalities:
text
Output Format:
ASSISTANT: {response}
LLM NameNous Capybara 7B V1.9 AWQ
Repository 🤗https://huggingface.co/TheBloke/Nous-Capybara-7B-v1.9-AWQ 
Model NameNous Capybara 7B v1.9
Model CreatorNousResearch
Base Model(s)  NousResearch/Nous-Capybara-7B-V1.9   NousResearch/Nous-Capybara-7B-V1.9
Model Size7b
Required VRAM4.2 GB
Updated2025-08-23
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nous-Capybara-7B-v1.9-AWQ.

Rank the Nous Capybara 7B V1.9 AWQ 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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Release v20241124
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