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Nous Capybara Limarpv3 34B AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Nous Capybara Limarpv3 34B AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:doctor-shotgun/nous... Base model:quantized:doctor-sh...   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Nous Capybara Limarpv3 34B AWQ Benchmarks

LLME Score: 0.17177
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Nous Capybara Limarpv3 34B AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
Quantized by TheBloke using AWQ method. Compatible with various inference frameworks.
Input Output 
Input Format:
{prompt}
LLM NameNous Capybara Limarpv3 34B AWQ
Repository 🤗https://huggingface.co/TheBloke/Nous-Capybara-limarpv3-34B-AWQ 
Model NameNous Capybara Limarpv3 34B
Model CreatorDoctor Shotgun
Base Model(s)  Nous Capybara Limarpv3 34B   Doctor-Shotgun/Nous-Capybara-limarpv3-34B
Model Size34b
Required VRAM19.3 GB
Updated2024-11-21
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   9.3 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16
Nous Capybara Limarpv3 34B AWQ (TheBloke/Nous-Capybara-limarpv3-34B-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nous-Capybara-limarpv3-34B-AWQ.

Rank the Nous Capybara Limarpv3 34B AWQ Capabilities

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Release v20241110
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