license: apache-2.0
base_model: Jiunsong/SuperQwen-AgentWorld-35B-A3B-abliterated
base_model_relation: quantized
library_name: mlx
pipeline_tag: image-text-to-text
tags:
- qwen-agentworld
- abliterated
- mlx
- nightmedia
- quantized
language: - en
- ko
SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-mlx
Brainwaves
arc arc/e boolq hswag obkqa piqa wino
mxfp4 0.646,0.838,0.902,0.778,0.444,0.822,0.703
Text only
mxfp4 0.657,0.862,0.906,0.766,0.490,0.825,0.692
Quant Perplexity Peak Memory Tokens/sec
mxfp4 5.286 ± 0.038 25.33 GB
Base model
Qwen-AgentWorld-35B-A3B (VL)
arc arc/e boolq hswag obkqa piqa wino
qx64-hi 0.644,0.818,0.909
mxfp4 0.626,0.813,0.901
Quant Perplexity Peak Memory Tokens/sec
qx64-hi 3.954 ± 0.025 32.86 GB 1311
mxfp4 4.170 ± 0.028 25.33 GB 1599
Qwen-AgentWorld-35B-A3B-Text
arc arc/e boolq hswag obkqa piqa wino
qx64-hi 0.647,0.835,0.909
mxfp4 0.626,0.813,0.901
Quant Perplexity Peak Memory Tokens/sec
mxfp8 4.012 ± 0.026 42.65 GB 1543
qx64-hi 3.973 ± 0.026 32.86 GB 1532
mxfp4 4.170 ± 0.028 25.33 GB 1471
Thinking toggle
This model is using(an early version of) the fixed jinja template from froggeric/Qwen-Fixed-Chat-Templates
Drop <|think_on|> or <|think_off|> anywhere in your system or user prompt. The template intercepts the tag, removes it from context so the model never sees it, and flips the mode.
The tag syntax (<|think_on|>, <|think_off|>) uses Qwen's control-token delimiters, so it will never collide with real text. Earlier community templates used /think, which broke legitimate paths like cd /mnt/project/think.
I added a similar set of tags as <|think_forget|> or <|think_remember|> for handling the preserve_thinking flag.
-G
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-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, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)