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kylar/Swift-Qwen3.8-27B-Uncensored-MTP-mlx-8Bit

kylar 27B multimodal second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/kylar%2FSwift-Qwen3.8-27B-Uncensored-MTP-mlx-8Bit"
Response includes
  • classification m1
  • files 14
  • hub_downloads_all_time 359
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
359
Likes
0
Model age
6w ago
created 2026-09-17
Downloads over time
Now755→from0↑0%
02775548310 on Sep 17755 on Nov 2SepOctNov
Sep 17 → Nov 2 · 47 snapshots · spans 46 days

Genealogy 0 direct forks

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This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
other
Tags
transformers safetensors qwen3_5 image-text-to-text abliterated uncensored qwen3_8 mtp mlx mlx-my-repo conversational base_model:ajgazin/Swift-Qwen3.8-27B-Uncensored-MTP

Related

Total size
26.6 GB
Files
14
Quantizations
1
Registered
2026-09-17 23:56
Last updated on HF
2026-09-17 23:40

Files by quantization

Auxiliary files 14 files 26.6 GB
model-00005-of-00006.safetensors 4.99 GB 8d79daa3 download
model-00002-of-00006.safetensors 4.99 GB 99acdd5f download
model-00003-of-00006.safetensors 4.97 GB b1dfdc29 download
model-00001-of-00006.safetensors 4.94 GB c4ba552f download
model-00004-of-00006.safetensors 4.93 GB 1c05493b download
model-00006-of-00006.safetensors 1.80 GB b093c87f download
tokenizer.json 19.1 MB 87a7830d download
model.safetensors.index.json 185 KB 0adfa998 download
chat_template.jinja 8.74 KB c0c686f9 download
config.json 3.99 KB e8c0add8 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.21 KB cd2a2094 download
tokenizer_config.json 1.11 KB f57cfc38 download
generation_config.json 221 B 1adb5e77 download

README current version from Hugging Face


license: other
license_name: swift-open-license-1.0
license_link: https://huggingface.co/ukisai/Swift-Qwen3.8-27b
base_model: ajgazin/Swift-Qwen3.8-27B-Uncensored-MTP
library_name: transformers
pipeline_tag: image-text-to-text
tags:

  • abliterated
  • uncensored
  • qwen3_8
  • mtp
  • mlx
  • mlx-my-repo

kylar/Swift-Qwen3.8-27B-Uncensored-MTP-mlx-8Bit

Created from: https://huggingface.co/spaces/mlx-community/mlx-my-repo

The Model kylar/Swift-Qwen3.8-27B-Uncensored-MTP-mlx-8Bit was converted to MLX format from ajgazin/Swift-Qwen3.8-27B-Uncensored-MTP using mlx-lm version 0.31.2.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("kylar/Swift-Qwen3.8-27B-Uncensored-MTP-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)

README history 2 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-09-17Update README.mde3f8a4b1.2 KB
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  2. 2026-09-17Upload folder using huggingface_hub2ba07d71.1 KB
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