metadata
language:
- zh
- en
- fr
- de
- ja
- ko
- it
- fi
tags:
- qwen3
- mlx
- mlx-my-repo
pipeline_tag: text-generation
base_model: OpenBuddy/SimpleChat-30BA3B-V2
mrtoots/SimpleChat-30BA3B-V2-mlx-8Bit
The Model mrtoots/SimpleChat-30BA3B-V2-mlx-8Bit was converted to MLX format from OpenBuddy/SimpleChat-30BA3B-V2 using mlx-lm version 0.26.4.
Toots' Note:
This model was converted and quantized utilizing OpenBuddy's base version of SimpleChat-30BA3B-V2.
Please follow and support OpenBuddy's work if you like it!
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Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mrtoots/SimpleChat-30BA3B-V2-mlx-8Bit")
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)