elvee / capybarahermes-2.5-mistral

This is the llama.cpp GGUF Quantised version of CapyBaraHermes 2.5 Mistral 7B from Argilla.

7B

76 Pulls Updated 4 months ago

4 months ago

a032251da159 · 4.1GB

model
llama
·
7.24B
·
Q4_K_S
template
<|im_start|>system {{ .System }}<|im_end|> <|im_start|>user {{ .Prompt }}<|im_end|> <|im_start|>assistant
params
{"stop":["<|im_start|>","<|im_end|>"]}

Readme

CapybaraHermes-2.5-Mistral-7B - GGUF

Image of the Capybara Hermes 2.5 Mistral logo

Description

This model is the launching partner of the capybara-dpo dataset build with ⚗️ distilabel. It’s a preference tuned OpenHermes-2.5-Mistral-7B.

CapybaraHermes has been preference tuned with LoRA and TRL for 3 epochs using argilla’s dpo mix 7k.

To test the impact on multi-turn performance we have used MTBench. We also include the Nous Benchmark results and Mistral-7B-Instruct-v0.2 for reference as it’s a strong 7B model on MTBench. The most interesting aspect in the context of the capybara-dpo dataset is the increased performance in MTBench Second Turn scores.

For the merge lovers, we also preference tuned Beagle14-7B with a mix of capybara-dpo and distilabel orca pairs using the same recipe as NeuralBeagle (see YALL - Yet Another LLM Leaderboard for reference)

Prompt Format

CapybaraHermes-2.5-Mistral-7B uses ChatML as the prompt format, opening up a much more structured system for engaging the LLM in multi-turn chat dialogue. It uses a system prompt to establish rules and roles, and steer the interaction between the user and the model.

Resources