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isv2lf/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-Q6-mlx

isv2lf Qwen 15B second-order
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Response includes
  • classification m1
  • files 10
  • benchmarks 5 entries
  • hub_downloads_all_time 1,316
  • author_summary 2 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
46 last 30d - cooling
Likes
0
Model age
20mo ago
created 2025-01-28
Downloads over time
Now1.3K→from44↑2,934%
04889761.5K44 on Jan 29, 20251.3K on Oct 11Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 29, 2025 → Oct 11 · 128 snapshots · spans 620 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
transformers safetensors qwen2 text-generation abliterated uncensored mlx mlx-my-repo conversational base_model:huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2 base_model:quantized:huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2 text-generation-inference

Related

Total size
11.2 GB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-01-28 07:14

Files by quantization

Auxiliary files 10 files 11.2 GB
model-00002-of-00003.safetensors 5.00 GB 0e95cf4c download
model-00001-of-00003.safetensors 4.99 GB d8b6150b download
model-00003-of-00003.safetensors 1.19 GB 2e73be31 download
tokenizer.json 10.9 MB e20ddafc download
model.safetensors.index.json 105 KB 1029aa0a download
tokenizer_config.json 6.60 KB b068ffca download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.06 KB c256bd50 download
config.json 868 B a3a29dda download
special_tokens_map.json 485 B 1d385d62 download

README current version from Hugging Face


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

  • abliterated
  • uncensored
  • mlx
  • mlx-my-repo

isv2lf/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-Q6-mlx

The Model isv2lf/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-Q6-mlx was converted to MLX format from huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2 using mlx-lm version 0.20.5.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("isv2lf/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2-Q6-mlx")

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 1 version

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

  1. 2025-01-28Upload README.md with huggingface_hubeb19cf61.1 KB
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