Text Generation
MLX
Safetensors
qwen3
programming
code generation
code
codeqwen
Mixture of Experts
coding
coder
qwen2
chat
qwen
qwen-coder
finetune
brainstorm 20x
brainstorm
optional thinking
creative
all use cases
QiMing
QiMing-holos
bagua
decision-making
strategic-analysis
cognitive-architecture
philosophy-driven-ai
conversational
4-bit precision
Qwen3-21B-QiMing-V1.0-TOTAL-RECALL-q4-mlx
This model Qwen3-21B-QiMing-V1.0-TOTAL-RECALL-q4-mlx was converted to MLX format from DavidAU/Qwen3-21B-QiMing-V1.0-TOTAL-RECALL using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Qwen3-21B-QiMing-V1.0-TOTAL-RECALL-q4-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)
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Model tree for nightmedia/Qwen3-21B-QiMing-V1.0-TOTAL-RECALL-q4-mlx
Base model
aifeifei798/QiMing-v1.0-14B