metadata
library_name: transformers
license: apache-2.0
base_model: NousResearch/Hermes-2-Pro-Llama-3-8B
language:
- en
datasets:
- teknium/OpenHermes-2.5
tags:
- gpt
- llm
- large language model
- nous-research
- nous-hermes
- Llama-3
- instruct
- finetune
- chatml
- DPO
- RLHF
- gpt4
- synthetic data
- distillation
- function calling
- json mode
- axolotl
- merges
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/6317aade83d8d2fd903192d9/HQnQmNM1L3KXGhp0wUzHH.png
pipeline_tag: text-generation
mlx-community/Hermes-2-Theta-Llama-3-8B-8bit
Model was converted to MLX format from NousResearch/Hermes-2-Theta-Llama-3-8B
using mlx-lm version 0.14.3.
Converted & uploaded by: @ucheog (Uche Ogbuji).
Refer to the original model card for more details on the model.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load('mlx-community/Hermes-2-Theta-Llama-3-8B-8bit')
response = generate(model, tokenizer, prompt='Hello! Tell me something good.', verbose=True)
Conversion command
python -m mlx_lm.convert --hf-path NousResearch/Hermes-2-Theta-Llama-3-8B --mlx-path ~/.local/share/models/mlx/Hermes-2-Theta-Llama-3-8B -q --q-bits 8