ai-modelscope 0405b8b4cb Upload folder using huggingface_hub (#1)
- c79308ee32b474a60535728b2fb8faf079a7b45fcbbc63acd3038099c77e5afc (395920d2ee58bd2a6cccdafcffebebc12eb33cbd)
- 84cfe5d9b40aa3ebde3284b31c0a45ccb986756d45f7961ca3669e257656373d (5afb71f7bacec18a5c45b4b72fbb3b08f75fde62)
2024-12-19 18:25:40 +08:00

language, license, tags, base_model, widget, library_name, model-index
language license tags base_model widget library_name model-index
en
llama3
Llama-3
instruct
finetune
chatml
gpt4
synthetic data
distillation
function calling
json mode
axolotl
roleplaying
chat
mlx
NousResearch/Hermes-3-Llama-3.2-3B
example_title messages
Hermes 3
role content
system You are a sentient, superintelligent artificial general intelligence, here to teach and assist me.
role content
user Write a short story about Goku discovering kirby has teamed up with Majin Buu to destroy the world.
transformers
name results
Hermes-3-Llama-3.1-405B

mlx-community/Hermes-3-Llama-3.2-3B-bf16

The Model mlx-community/Hermes-3-Llama-3.2-3B-bf16 was converted to MLX format from NousResearch/Hermes-3-Llama-3.2-3B using mlx-lm version 0.20.3.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Hermes-3-Llama-3.2-3B-bf16")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
Description
Model synced from source: mlx-community/Hermes-3-Llama-3.2-3B-bf16
Readme 32 KiB