Text Generation
MLX
Safetensors
qwen3_moe
creative
creative writing
fiction writing
plot generation
sub-plot generation
story generation
scene continue
storytelling
fiction story
science fiction
romance
all genres
story
writing
vivid prose
vivid writing
Mixture of Experts
mixture of experts
64 experts
8 active experts
fiction
roleplaying
bfloat16
rp
qwen3
horror
finetune
thinking
reasoning
conversational
8-bit precision
metadata
license: apache-2.0
library_name: mlx
language:
- en
- fr
- zh
- de
tags:
- creative
- creative writing
- fiction writing
- plot generation
- sub-plot generation
- story generation
- scene continue
- storytelling
- fiction story
- science fiction
- romance
- all genres
- story
- writing
- vivid prose
- vivid writing
- moe
- mixture of experts
- 64 experts
- 8 active experts
- fiction
- roleplaying
- bfloat16
- rp
- qwen3
- horror
- finetune
- thinking
- reasoning
- qwen3_moe
- mlx
base_model: DavidAU/Qwen3-18B-A3B-Stranger-Thoughts
pipeline_tag: text-generation
mlx-community/Qwen3-18B-A3B-Stranger-Thoughts-Q_8
This model mlx-community/Qwen3-18B-A3B-Stranger-Thoughts-Q_8 was converted to MLX format from DavidAU/Qwen3-18B-A3B-Stranger-Thoughts using mlx-lm version 0.25.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Qwen3-18B-A3B-Stranger-Thoughts-Q_8")
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)