
## **Nous Capybara 57B**

[exllamav2](https://github.com/turboderp/exllamav2) quant for [TeeZee/2xNous-Capybara-34B](https://huggingface.co/TeeZee/2xNous-Capybara-34B)

Runs smoothly on single 3090 in webui with context length set to 4096, ExLlamav2_HF loader
and cache_8bit=True

All comments are greatly appreciated, download, test and if you appreciate my work, consider buying me my fuel:
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{"language": ["eng"], "license": ["mit"], "tags": ["sft", "Yi-34B-200K", "merge"], "datasets": ["LDJnr/Capybara", "LDJnr/LessWrong-Amplify-Instruct", "LDJnr/Pure-Dove", "LDJnr/Verified-Camel"]}
transformers safetensors llama text-generation sft Yi-34B-200K merge eng dataset:LDJnr/Capybara dataset:LDJnr/LessWrong-Amplify-Instruct dataset:LDJnr/Pure-Dove dataset:LDJnr/Verified-Camel license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us