Text Generation
MLX
Safetensors
English
qwen3_moe
programming
code generation
code
coding
coder
chat
brainstorm
qwen
qwen3
qwencoder
brainstorm 40x
creative
all uses cases
Jan-V1
horror
science fiction
fantasy
Star Trek
finetune
Deckard
PKD
thinking
reasoning
unsloth
2x8B
Mixture of Experts
mixture of experts
Merge
mlx-my-repo
conversational
6-bit
introvoyz041/Qwen3-MOE-2x8B-TNG-Deckard-Beta-16B-qx64-hi-mlx-mlx-8Bit
The Model introvoyz041/Qwen3-MOE-2x8B-TNG-Deckard-Beta-16B-qx64-hi-mlx-mlx-8Bit was converted to MLX format from nightmedia/Qwen3-MOE-2x8B-TNG-Deckard-Beta-16B-qx64-hi-mlx using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/Qwen3-MOE-2x8B-TNG-Deckard-Beta-16B-qx64-hi-mlx-mlx-8Bit")
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)
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Model tree for introvoyz041/Qwen3-MOE-2x8B-TNG-Deckard-Beta-16B-qx64-hi-mlx-mlx-8Bit
Base model
Qwen/Qwen3-4B-Thinking-2507
Finetuned
janhq/Jan-v1-4B
Finetuned
DavidAU/Qwen3-8B-DND-Almost-Human-C