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TheWirelessPhoenix/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-mlx_4bit

TheWirelessPhoenix Qwen 15B second-order
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Response includes
  • classification m1
  • files 10
  • benchmarks 5 entries
  • hub_downloads_all_time 1,009
  • author_summary 10 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
1K
526 last 30d - active
Likes
0
Model age
6w ago
created 2026-08-30
Downloads over time
Now1.2K→from0↑0%
04559111.4K0 on Aug 301.2K on Oct 15AugSepOct
Aug 30 → Oct 15 · 47 snapshots · spans 46 days

Benchmarks

Benchmark Score Source
BBH average 0.3473861720067454 OpenLLM-v2
IFEval instruct 0.4892086330935252 OpenLLM-v2
IFEval-Prompt 0.35304990757855825 OpenLLM-v2
MATH lvl 5 0 OpenLLM-v2
MMLU-Pro 0.19148936170212766 OpenLLM-v2

Genealogy 0 direct forks

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Metadata

Tags
mlx safetensors qwen2 abliterated uncensored text-generation conversational base_model:huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2 base_model:quantized:huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2 4-bit region:us

Related

Total size
7.74 GB
Files
10
Quantizations
1
Registered
2026-08-30 20:03
Last updated on HF
2026-08-30 19:16

Files by quantization

Auxiliary files 10 files 7.75 GB
model-00001-of-00002.safetensors 4.99 GB 73c92fed download
model-00002-of-00002.safetensors 2.75 GB ea71048b download
tokenizer.json 10.9 MB 7dd428a7 download
model.safetensors.index.json 105 KB 2aec79fc download
chat_template.jinja 2.18 KB 02a1c3bc download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.08 KB f0719f42 download
config.json 920 B e085e537 download
tokenizer_config.json 458 B 5502d800 download
generation_config.json 190 B 829e028b download

README current version from Hugging Face


base_model: huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
library_name: mlx
tags:

  • abliterated
  • uncensored
  • mlx
    pipeline_tag: text-generation

TheWirelessPhoenix/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-mlx_4bit

This model TheWirelessPhoenix/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-mlx_4bit was
converted to MLX format from huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
using mlx-lm version 0.32.0.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("TheWirelessPhoenix/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-mlx_4bit")

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)

README history 1 version

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

  1. 2026-08-30Add files using upload-large-folder tool82cef921.1 KB
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