license: apache-2.0
base_model: orcarouter/Qwen3.8-27B-Uncensored
base_model_relation: finetune
pipeline_tag: image-text-to-text
library_name: transformers
language:
- en
- zh
tags: - abliterated
- qwen
- qwen3
- qwen3.8
- uncensored
- ai-red-team
- red-teaming
- bf16
- post-training
- fine-tuning
- vision-language
- function-calling
- reasoning
- mtp
- mlx
- mlx-my-repo
SolsticeAI/Qwen3.8-27B-Uncensored-mlx-6Bit
The Model SolsticeAI/Qwen3.8-27B-Uncensored-mlx-6Bit was converted to MLX format from orcarouter/Qwen3.8-27B-Uncensored using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("SolsticeAI/Qwen3.8-27B-Uncensored-mlx-6Bit")
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)