← back to catalog · registered 2026-08-22 13:56

RichardErkhov/kinakomochi_-_Evolved-Llama3-ELYZA-Uncensored-8B-gguf

RichardErkhov Llama 8B GGUF 8K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/RichardErkhov%2Fkinakomochi_-_Evolved-Llama3-ELYZA-Uncensored-8B-gguf"
Response includes
  • classification m8
  • files 24
  • hub_downloads_all_time 9,421
  • author_summary 257 models
  • readme_text full
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
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
9K
1K last 30d - stable
Likes
1
Model age
2.1y ago
created 2024-08-23
Downloads over time
Now9.7K→from602↑1,515%
03.6K7.1K10.7K602 on Aug 21, 20249.7K on Oct 11Aug '24Dec '24Apr '25Aug '25Dec '25AprAug
Aug 21, 2024 → Oct 11 · 151 snapshots · spans 781 days

Metadata

Quantizations
IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5 Q5_K Q6_K Q8_0
Tags
gguf arxiv:2212.04089 endpoints_compatible region:us conversational

Related

Total size
100 GB
Files
24
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2024-08-23 07:12

Files by quantization

Q8_0 1 file 7.95 GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q8_0.gguf 7.95 GB 7a52a8ef download
Q6_K 1 file 6.14 GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q6_K.gguf 6.14 GB 5463a4a6 download
Q5 2 files 10.9 GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q5_1.gguf 5.65 GB 9cf79388 download
Evolved-Llama3-ELYZA-Uncensored-8B.Q5_0.gguf 5.21 GB fc034083 download
Q5_K 3 files 15.9 GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q5_K.gguf 5.34 GB 4c2776c8 download
Evolved-Llama3-ELYZA-Uncensored-8B.Q5_K_M.gguf 5.34 GB 4c2776c8 download
Evolved-Llama3-ELYZA-Uncensored-8B.Q5_K_S.gguf 5.21 GB 31a48b1e download
Q4 2 files 9.12 GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q4_1.gguf 4.78 GB 65620b00 download
Evolved-Llama3-ELYZA-Uncensored-8B.Q4_0.gguf 4.34 GB 3451e7a0 download
Q4_K 3 files 13.5 GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q4_K.gguf 4.58 GB e63ed2f4 download
Evolved-Llama3-ELYZA-Uncensored-8B.Q4_K_M.gguf 4.58 GB e63ed2f4 download
Evolved-Llama3-ELYZA-Uncensored-8B.Q4_K_S.gguf 4.37 GB 986c8017 download
IQ4 2 files 8.56 GB
Evolved-Llama3-ELYZA-Uncensored-8B.IQ4_NL.gguf 4.38 GB 4383e0c2 download
Evolved-Llama3-ELYZA-Uncensored-8B.IQ4_XS.gguf 4.18 GB 7222fd2e download
Q3_K 4 files 14.9 GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q3_K_L.gguf 4.03 GB 1f1e7efd download
Evolved-Llama3-ELYZA-Uncensored-8B.Q3_K.gguf 3.74 GB a797604a download
Evolved-Llama3-ELYZA-Uncensored-8B.Q3_K_M.gguf 3.74 GB a797604a download
Evolved-Llama3-ELYZA-Uncensored-8B.Q3_K_S.gguf 3.41 GB 32274572 download
IQ3 3 files 10.2 GB
Evolved-Llama3-ELYZA-Uncensored-8B.IQ3_M.gguf 3.52 GB e052a397 download
Evolved-Llama3-ELYZA-Uncensored-8B.IQ3_S.gguf 3.43 GB 1eb45550 download
Evolved-Llama3-ELYZA-Uncensored-8B.IQ3_XS.gguf 3.28 GB 75adc81a download
Q2_K 1 file 2.96 GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q2_K.gguf 2.96 GB e5589103 download
Auxiliary files 2 files 10.0 KB
README.md 6.78 KB 498b86bb download
.gitattributes 3.25 KB 2be23747 download

README current version from Hugging Face

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Evolved-Llama3-ELYZA-Uncensored-8B - GGUF

Name Quant method Size
Evolved-Llama3-ELYZA-Uncensored-8B.Q2_K.gguf Q2_K 2.96GB
Evolved-Llama3-ELYZA-Uncensored-8B.IQ3_XS.gguf IQ3_XS 3.28GB
Evolved-Llama3-ELYZA-Uncensored-8B.IQ3_S.gguf IQ3_S 3.43GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q3_K_S.gguf Q3_K_S 3.41GB
Evolved-Llama3-ELYZA-Uncensored-8B.IQ3_M.gguf IQ3_M 3.52GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q3_K.gguf Q3_K 3.74GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q3_K_M.gguf Q3_K_M 3.74GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q3_K_L.gguf Q3_K_L 4.03GB
Evolved-Llama3-ELYZA-Uncensored-8B.IQ4_XS.gguf IQ4_XS 4.18GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q4_0.gguf Q4_0 4.34GB
Evolved-Llama3-ELYZA-Uncensored-8B.IQ4_NL.gguf IQ4_NL 4.38GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q4_K_S.gguf Q4_K_S 4.37GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q4_K.gguf Q4_K 4.58GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q4_K_M.gguf Q4_K_M 4.58GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q4_1.gguf Q4_1 4.78GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q5_0.gguf Q5_0 5.21GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q5_K_S.gguf Q5_K_S 5.21GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q5_K.gguf Q5_K 5.34GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q5_K_M.gguf Q5_K_M 5.34GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q5_1.gguf Q5_1 5.65GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q6_K.gguf Q6_K 6.14GB
Evolved-Llama3-ELYZA-Uncensored-8B.Q8_0.gguf Q8_0 7.95GB

Original model description:

base_model: []
library_name: transformers
tags:

  • mergekit
  • merge
    language:
  • ja

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the task arithmetic merge method using Llama-3-ELYZA-JP-8B as a base.

Models Merged

The following models were included in the merge:

  • LLama-3-8b-Uncensored

Configuration

The following YAML configuration was used to produce this model:

base_model: Llama-3-ELYZA-JP-8B_2371007997
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  int8_mask: 1.0
  normalize: 0.0
slices:
- sources:
  - layer_range: [0, 8]
    model: Llama-3-ELYZA-JP-8B_2371007997
    parameters:
      weight: 0.6009853792520561
  - layer_range: [0, 8]
    model: LLama-3-8b-Uncensored_3533367681
    parameters:
      weight: 0.6426472022803525
- sources:
  - layer_range: [8, 16]
    model: Llama-3-ELYZA-JP-8B_2371007997
    parameters:
      weight: 0.9637092777121993
  - layer_range: [8, 16]
    model: LLama-3-8b-Uncensored_3533367681
    parameters:
      weight: 0.04643386869454866
- sources:
  - layer_range: [16, 24]
    model: Llama-3-ELYZA-JP-8B_2371007997
    parameters:
      weight: 0.8126375881596057
  - layer_range: [16, 24]
    model: LLama-3-8b-Uncensored_3533367681
    parameters:
      weight: -0.09409093863958298
- sources:
  - layer_range: [24, 32]
    model: Llama-3-ELYZA-JP-8B_2371007997
    parameters:
      weight: 1.0678042108768628
  - layer_range: [24, 32]
    model: LLama-3-8b-Uncensored_3533367681
    parameters:
      weight: -0.29934185707062755

README history 1 version

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

  1. 2024-08-23uploaded readme04260ac6.8 KB
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration