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RichardErkhov/byroneverson_-_Yi-1.5-9B-Chat-16K-abliterated-gguf

RichardErkhov Yi 9B GGUF 16K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/RichardErkhov%2Fbyroneverson_-_Yi-1.5-9B-Chat-16K-abliterated-gguf"
Response includes
  • classification m8
  • files 24
  • hub_downloads_all_time 2,479
  • author_summary 257 models
  • readme_text full
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GET/models?author=RichardErkhov
All 257 models by RichardErkhov
 GET/models?family=yi&method=m8
Sibling yi models · same method
 GET/methods/m8
What "m8" means · taxonomy
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 2 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.
  • author=richarderkhov (M8 quantization producer)
  • is_gguf=1
How we label → About M8 →
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.

What is a refusal direction? →
Downloads · lifetime
2K
462 last 30d - stable
Likes
0
Model age
2.0y ago
created 2024-10-02
Downloads over time
Now2.6K→from663↑289%
09471.9K2.8K663 on Oct 2, 20242.6K on Oct 11Oct '24Feb '25Jun '25Oct '25FebJunOct
Oct 2, 2024 → Oct 11 · 145 snapshots · spans 739 days

Metadata

Quantizations
IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5 Q5_K Q6_K Q8_0
Tags
gguf endpoints_compatible region:us conversational

Related

Other by RichardErkhov
byroneverson_-_gemma-2-27b-it-abliterated-gguf 2K huihui-ai_-_Llama-3.2-1B-Instruct-abliterated-gguf 2K failspy_-_Codestral-22B-v0.1-abliterated-v3-gguf 2K Rupesh2_-_Llama-3.1-8B-Uncensored-gguf 2K huihui-ai_-_Qwen2.5-32B-Instruct-abliterated-gguf 2K
Total size
109 GB
Files
24
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2024-10-02 14:01
Source huggingface.co/RichardErkhov/byroneverson_-_Yi-1.5-9B-Chat-16K-abliterated-gguf ↗

Files by quantization

Q8_0 1 file 8.74 GB
Yi-1.5-9B-Chat-16K-abliterated.Q8_0.gguf 8.74 GB 3641670a download
Q6_K 1 file 6.75 GB
Yi-1.5-9B-Chat-16K-abliterated.Q6_K.gguf 6.75 GB 897ef8da download
Q5 2 files 11.9 GB
Yi-1.5-9B-Chat-16K-abliterated.Q5_1.gguf 6.19 GB a8e20719 download
Yi-1.5-9B-Chat-16K-abliterated.Q5_0.gguf 5.69 GB 6119265d download
Q5_K 3 files 17.3 GB
Yi-1.5-9B-Chat-16K-abliterated.Q5_K.gguf 5.83 GB d0cfe524 download
Yi-1.5-9B-Chat-16K-abliterated.Q5_K_M.gguf 5.83 GB d0cfe524 download
Yi-1.5-9B-Chat-16K-abliterated.Q5_K_S.gguf 5.69 GB f936e589 download
Q4 2 files 9.88 GB
Yi-1.5-9B-Chat-16K-abliterated.Q4_1.gguf 5.19 GB bfe0a6f0 download
Yi-1.5-9B-Chat-16K-abliterated.Q4_0.gguf 4.69 GB 6107ea09 download
Q4_K 3 files 14.6 GB
Yi-1.5-9B-Chat-16K-abliterated.Q4_K.gguf 4.96 GB 80ce7ef1 download
Yi-1.5-9B-Chat-16K-abliterated.Q4_K_M.gguf 4.96 GB 80ce7ef1 download
Yi-1.5-9B-Chat-16K-abliterated.Q4_K_S.gguf 4.72 GB 89739d91 download
IQ4 2 files 9.23 GB
Yi-1.5-9B-Chat-16K-abliterated.IQ4_NL.gguf 4.73 GB 2f8ad303 download
Yi-1.5-9B-Chat-16K-abliterated.IQ4_XS.gguf 4.50 GB 48fb02d3 download
Q3_K 4 files 16.1 GB
Yi-1.5-9B-Chat-16K-abliterated.Q3_K_L.gguf 4.37 GB f021a0aa download
Yi-1.5-9B-Chat-16K-abliterated.Q3_K.gguf 4.03 GB 8117ed84 download
Yi-1.5-9B-Chat-16K-abliterated.Q3_K_M.gguf 4.03 GB 8117ed84 download
Yi-1.5-9B-Chat-16K-abliterated.Q3_K_S.gguf 3.63 GB 190ac987 download
IQ3 3 files 10.9 GB
Yi-1.5-9B-Chat-16K-abliterated.IQ3_M.gguf 3.78 GB 19fe9264 download
Yi-1.5-9B-Chat-16K-abliterated.IQ3_S.gguf 3.64 GB 5f7903b8 download
Yi-1.5-9B-Chat-16K-abliterated.IQ3_XS.gguf 3.46 GB 1b5eae3a download
Q2_K 1 file 3.12 GB
Yi-1.5-9B-Chat-16K-abliterated.Q2_K.gguf 3.12 GB e5f5e141 download
Auxiliary files 2 files 9.14 KB
README.md 5.98 KB 1ceacf8e download
.gitattributes 3.16 KB 58fc1518 download

README current version from Hugging Face

Quantization made by Richard Erkhov.

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Yi-1.5-9B-Chat-16K-abliterated - GGUF

Name Quant method Size
Yi-1.5-9B-Chat-16K-abliterated.Q2_K.gguf Q2_K 3.12GB
Yi-1.5-9B-Chat-16K-abliterated.IQ3_XS.gguf IQ3_XS 3.46GB
Yi-1.5-9B-Chat-16K-abliterated.IQ3_S.gguf IQ3_S 3.64GB
Yi-1.5-9B-Chat-16K-abliterated.Q3_K_S.gguf Q3_K_S 3.63GB
Yi-1.5-9B-Chat-16K-abliterated.IQ3_M.gguf IQ3_M 3.78GB
Yi-1.5-9B-Chat-16K-abliterated.Q3_K.gguf Q3_K 4.03GB
Yi-1.5-9B-Chat-16K-abliterated.Q3_K_M.gguf Q3_K_M 4.03GB
Yi-1.5-9B-Chat-16K-abliterated.Q3_K_L.gguf Q3_K_L 4.37GB
Yi-1.5-9B-Chat-16K-abliterated.IQ4_XS.gguf IQ4_XS 4.5GB
Yi-1.5-9B-Chat-16K-abliterated.Q4_0.gguf Q4_0 4.69GB
Yi-1.5-9B-Chat-16K-abliterated.IQ4_NL.gguf IQ4_NL 4.73GB
Yi-1.5-9B-Chat-16K-abliterated.Q4_K_S.gguf Q4_K_S 4.72GB
Yi-1.5-9B-Chat-16K-abliterated.Q4_K.gguf Q4_K 4.96GB
Yi-1.5-9B-Chat-16K-abliterated.Q4_K_M.gguf Q4_K_M 4.96GB
Yi-1.5-9B-Chat-16K-abliterated.Q4_1.gguf Q4_1 5.19GB
Yi-1.5-9B-Chat-16K-abliterated.Q5_0.gguf Q5_0 5.69GB
Yi-1.5-9B-Chat-16K-abliterated.Q5_K_S.gguf Q5_K_S 5.69GB
Yi-1.5-9B-Chat-16K-abliterated.Q5_K.gguf Q5_K 5.83GB
Yi-1.5-9B-Chat-16K-abliterated.Q5_K_M.gguf Q5_K_M 5.83GB
Yi-1.5-9B-Chat-16K-abliterated.Q5_1.gguf Q5_1 6.19GB
Yi-1.5-9B-Chat-16K-abliterated.Q6_K.gguf Q6_K 6.75GB
Yi-1.5-9B-Chat-16K-abliterated.Q8_0.gguf Q8_0 8.74GB

Original model description:

base_model: 01-ai/Yi-1.5-9B-Chat-16K
license: apache-2.0
pipeline_tag: text-generation
language:

  • zh
  • en
    tags:
  • llm
  • long context
  • yi
  • chat
  • it
  • abliterated
    library_name: transformers

Yi-1.5-9B-Chat-16K-abliterated

Note: This abliterated model (no finetuning) beats the original model on the LLM Leaderboard.

Model Average IFEval BBH MATH Lvl 5 GPQA MUSR MMLU-PRO
byroneverson/Yi-1.5-9B-Chat-16K-abliterated 26.37 55.28 32.84 10.65 8.39 19.68 31.37
01-ai/Yi-1.5-9B-Chat-16K 22.9 42.14 31.5 12.61 7.83 10.04 33.26

Check out the jupyter notebook for details of how this model was abliterated from Yi-1.5-9B-Chat-16K.

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README history 1 version

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

  1. 2024-10-02uploaded readmecc3e8a06 KB
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