Nous-Capybara-34B V1.9 in select quantizations
34b
967 Pulls Updated 13 months ago
Updated 13 months ago
13 months ago
b977635d75a7 · 21GB
model
archllama
·
parameters34.4B
·
quantizationQ4_K_M
21GB
template
USER: {{ .Prompt }}
ASSISTANT:
30B
params
{
"num_ctx": 10240,
"stop": [
"</s>"
]
}
43B
Readme
Nous-Capybara-34B V1.9
This is trained on the Yi-34B model with 200K context length, for 3 epochs on the Capybara dataset!
I’m providing q4_K_M & q3_K_M quantizations. Models are set up for 10k context. You can try larger contexts with >>>/set parameter num_ctx XXXXXXX
in the CLI, or by creating a custom model.