metadata
license: apache-2.0
base_model: severian/Glyphstral-24b-v1
tags:
- symbolic-ai
- reasoning
- deductive-logic
- glyph-code-logic-flow
- mistral
- mlx
- fine-tuned
- experimental
- mlx
severian/Glyphstral-24b-v1
The Model severian/Glyphstral-24b-v1 was converted to MLX format from severian/Glyphstral-24b-v1 using mlx-lm version 0.21.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("severian/Glyphstral-24b-v1")
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)