metadata
library_name: transformers
tags:
- trl
- grpo
- rl
- superthoughts
- reasoning
- cot
- mlx
- mlx-my-repo
license: apache-2.0
datasets:
- openai/gsm8k
- Pinkstack/intructions-sft-sharegpt
language:
- en
base_model: Pinkstack/Superthoughts-lite-v1
pipeline_tag: text-generation
Pinkstack/Superthoughts-lite-v1-Q8-mlx
The Model Pinkstack/Superthoughts-lite-v1-Q8-mlx was converted to MLX format from Pinkstack/Superthoughts-lite-v1 using mlx-lm version 0.20.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Pinkstack/Superthoughts-lite-v1-Q8-mlx")
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)