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BlossomsAI/Qwen2.5-Coder-14B-Instruct-Uncensored-GGUF

BlossomsAI Qwen 14B GGUF 33K ctx
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Response includes
  • classification m-uncensored
  • files 10
  • benchmarks 5 entries
  • hub_downloads_all_time 24,468
  • author_summary 12 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
24K
3K last 30d - stable
Likes
12
Model age
20mo ago
created 2025-01-30
Downloads over time
Now25.4K→from116↑21,804%
09.3K18.6K27.9K116 on Jan 29, 202525.4K on Oct 11Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 29, 2025 → Oct 11 · 131 snapshots · spans 620 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
BBH average 0.5432611233623038 OpenLLM-v2
IFEval instruct 0.7290167865707434 OpenLLM-v2
IFEval-Prompt 0.6524953789279113 OpenLLM-v2
MATH lvl 5 0.2681268882175227 OpenLLM-v2
MMLU-Pro 0.3939494680851064 OpenLLM-v2

Genealogy 0 direct forks

Full fork graph →

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

Variants by this author 2 formats · 3K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
mit
Tags
gguf text-generation base_model:Qwen/Qwen2.5-Coder-14B-Instruct base_model:quantized:Qwen/Qwen2.5-Coder-14B-Instruct license:mit endpoints_compatible region:us conversational

Related

Total size
73.8 GB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-02-11 02:12

Files by quantization

Auxiliary files 10 files 73.8 GB
q8_0.gguf 14.6 GB a083bde5 download
q6_k.gguf 11.3 GB d8f7cddd download
q5_k_m.gguf 9.79 GB cc64743a download
q5_k_s.gguf 9.56 GB 337e0d36 download
q4_k_m.gguf 8.37 GB 75062a7b download
q4_k_s.gguf 7.98 GB 5a3910b5 download
q3_k_m.gguf 6.84 GB 17199b07 download
q2_k.gguf 5.37 GB a68dfe6a download
README.md 2.18 KB 74f74602 download
.gitattributes 1.85 KB ce5e3034 download

README current version from Hugging Face


license: mit
base_model:

  • Qwen/Qwen2.5-Coder-14B-Instruct
    pipeline_tag: text-generation

Logo

🚀 Qwen2.5-Coder-14B-Instruct-Uncensored-GGUF

Optimized quantized models for efficient inference

📋 Overview

A collection of optimized GGUF quantized models derived from Qwen/Qwen2.5-Coder-14B-Instruct, providing various performance-quality tradeoffs.

💎 Model Variants

Variant Use Case Download
Q2_K Basic text completion tasks 📥
Q3_K_M Memory-efficient quality operations 📥
Q4_K_S Balanced performance and quality 📥
Q4_K_M Balanced performance and quality 📥
Q5_K_S Enhanced quality text generation 📥
Q5_K_M Enhanced quality text generation 📥
Q6_K Superior quality outputs 📥
Q8_0 Maximum quality, production-grade results 📥

🤝 Contributors

Developed with ❤️ by BlossomAI


Star ⭐️ this repo if you find it valuable!

README history 5 versions

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

  1. 2025-02-11Update README.mdb15f5f52.2 KB
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  2. 2025-02-11Update README.mdcf112952.2 KB
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  3. 2025-02-10Update README.mdf6294ba2.2 KB
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  4. 2025-02-10Update README.md4dbcf7b2.2 KB
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  5. 2025-01-31Create README.md7ff78a0113 B
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