metadata
license: apache-2.0
base_model: DavidAU/Mistral-Devstral-2505-CODER-Brainstorm20x-34B
language:
- en
- fr
- de
- es
- pt
- it
- ja
- ko
- ru
- zh
- ar
- fa
- id
- ms
- ne
- pl
- ro
- sr
- sv
- tr
- uk
- vi
- hi
- bn
pipeline_tag: text-generation
tags:
- merge
- programming
- code generation
- code
- coding
- coder
- chat
- brainstorm
- brainstorm20x
- mistral
- mlx
library_name: mlx
Mistral-Devstral-2505-CODER-Brainstorm20x-34B-q6-mlx
This model Mistral-Devstral-2505-CODER-Brainstorm20x-34B-q6-mlx was converted to MLX format from DavidAU/Mistral-Devstral-2505-CODER-Brainstorm20x-34B using mlx-lm version 0.26.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Mistral-Devstral-2505-CODER-Brainstorm20x-34B-q6-mlx")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)