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richarderkhov/orion-zhen_-_qwen2.5-7b-instruct-uncensored-gguf overview

This model is an uncensored fine-tune version of Qwen2.5-7B-Instruct. However, I can still notice that though uncensored, the model fails to generate detailed descriptions on certain extreme scenarios, which might be associated with deletion on some pretrain datasets in Qwen's pretraining stage. Check out my roleplay&writing enhanced model based on this model: Orion-zhen/Meissa-Qwen2.5-7B-Instruct

ggufendpoints_compatibleregion:usconversational
richarderkhov/orion-zhen_-_qwen2.5-7b-instruct-uncensored-gguf visual
Downloads
98
Likes
3
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

22 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Qwen2.5-7B-Instruct-Uncensored.IQ3_M.gguf GGUF IQ3_M 3.33 GB Download
Qwen2.5-7B-Instruct-Uncensored.IQ3_S.gguf GGUF IQ3_S 3.26 GB Download
Qwen2.5-7B-Instruct-Uncensored.IQ3_XS.gguf GGUF IQ3_XS 3.12 GB Download
Qwen2.5-7B-Instruct-Uncensored.IQ4_NL.gguf GGUF IQ4_NL 4.16 GB Download
Qwen2.5-7B-Instruct-Uncensored.IQ4_XS.gguf GGUF IQ4_XS 3.96 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q2_K.gguf GGUF Q2_K 2.81 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q3_K.gguf GGUF Q3_K 3.55 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q3_K_L.gguf GGUF Q3_K_L 3.81 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q3_K_M.gguf GGUF Q3_K_M 3.55 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q3_K_S.gguf GGUF Q3_K_S 3.25 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q4_0.gguf GGUF 4.13 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q4_1.gguf GGUF 4.54 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q4_K.gguf GGUF Q4_K 4.36 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q4_K_M.gguf GGUF Q4_K_M 4.36 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q4_K_S.gguf GGUF Q4_K_S 4.15 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q5_0.gguf GGUF 4.95 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q5_1.gguf GGUF 5.36 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q5_K.gguf GGUF Q5_K 5.07 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q5_K_M.gguf GGUF Q5_K_M 5.07 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q5_K_S.gguf GGUF Q5_K_S 4.95 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q6_K.gguf GGUF Q6_K 5.82 GB Download
Qwen2.5-7B-Instruct-Uncensored.Q8_0.gguf GGUF 7.54 GB Download

Model Details Live

Model Slug
richarderkhov/orion-zhen_-_qwen2.5-7b-instruct-uncensored-gguf
Author
RichardErkhov
Pipeline Task
Library
Created
2024-10-18
Last Modified
2024-10-18
Gated
No
Private
No
HF SHA
6d2cd5498159cd01b17aae447298fb3b5c69ce8f
License
Unknown
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "frontmatter": {},
    "hero_image_url": "",
    "summary": "This model is an uncensored fine-tune version of Qwen2.5-7B-Instruct. However, I can still notice that though uncensored, the model fails to generate detailed descriptions on certain extreme scenarios, which might be associated with deletion on some pretrain datasets in Qwen's pretraining stage. Check out my roleplay&writing enhanced model based on this model: Orion-zhen/Meissa-Qwen2.5-7B-Instruct",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nQwen2.5-7B-Instruct-Uncensored - GGUF\n- Model creator: https://huggingface.co/Orion-zhen/\n- Original model: https://huggingface.co/Orion-zhen/Qwen2.5-7B-Instruct-Uncensored/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Qwen2.5-7B-Instruct-Uncensored.Q2_K.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q2_K.gguf) | Q2_K | 2.81GB |\n| [Qwen2.5-7B-Instruct-Uncensored.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.IQ3_XS.gguf) | IQ3_XS | 3.12GB |\n| [Qwen2.5-7B-Instruct-Uncensored.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.IQ3_S.gguf) | IQ3_S | 3.26GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q3_K_S.gguf) | Q3_K_S | 3.25GB |\n| [Qwen2.5-7B-Instruct-Uncensored.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.IQ3_M.gguf) | IQ3_M | 3.33GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q3_K.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q3_K.gguf) | Q3_K | 3.55GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q3_K_M.gguf) | Q3_K_M | 3.55GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q3_K_L.gguf) | Q3_K_L | 3.81GB |\n| [Qwen2.5-7B-Instruct-Uncensored.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.IQ4_XS.gguf) | IQ4_XS | 3.96GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q4_0.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q4_0.gguf) | Q4_0 | 4.13GB |\n| [Qwen2.5-7B-Instruct-Uncensored.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.IQ4_NL.gguf) | IQ4_NL | 4.16GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q4_K_S.gguf) | Q4_K_S | 4.15GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q4_K.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q4_K.gguf) | Q4_K | 4.36GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q4_K_M.gguf) | Q4_K_M | 4.36GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q4_1.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q4_1.gguf) | Q4_1 | 4.54GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q5_0.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q5_0.gguf) | Q5_0 | 4.95GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q5_K_S.gguf) | Q5_K_S | 4.95GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q5_K.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q5_K.gguf) | Q5_K | 5.07GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q5_K_M.gguf) | Q5_K_M | 5.07GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q5_1.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q5_1.gguf) | Q5_1 | 5.36GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q6_K.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q6_K.gguf) | Q6_K | 5.82GB |\n| [Qwen2.5-7B-Instruct-Uncensored.Q8_0.gguf](https://huggingface.co/RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf/blob/main/Qwen2.5-7B-Instruct-Uncensored.Q8_0.gguf) | Q8_0 | 7.54GB |\n\n\n\n\nOriginal model description:\n---\nlicense: gpl-3.0\ndatasets:\n- NobodyExistsOnTheInternet/ToxicQAFinal\n- anthracite-org/kalo-opus-instruct-22k-no-refusal\n- Orion-zhen/dpo-toxic-zh\n- unalignment/toxic-dpo-v0.2\n- Crystalcareai/Intel-DPO-Pairs-Norefusals\nlanguage:\n- zh\n- en\nbase_model:\n- Qwen/Qwen2.5-7B-Instruct\npipeline_tag: text-generation\ntags:\n- qwen\n- uncensored\n---\n\n# Qwen2.5-7B-Instruct-Uncensored\n\nThis model is an uncensored fine-tune version of Qwen2.5-7B-Instruct. However, I can still notice that though uncensored, the model fails to generate detailed descriptions on certain extreme scenarios, which might be associated with deletion on some pretrain datasets in Qwen's pretraining stage.\n\nCheck out my roleplay&writing enhanced model based on this model: [Orion-zhen/Meissa-Qwen2.5-7B-Instruct](https://huggingface.co/Orion-zhen/Meissa-Qwen2.5-7B-Instruct)\n\n## Traning details\n\nI used SFT + DPO to ensure uncensorment as well as trying to maintain original model's capabilities.\n\n- SFT:\n  - NobodyExistsOnTheInternet/ToxicQAFinal\n  - anthracite-org/kalo-opus-instruct-22k-no-refusal\n- DPO:\n  - Orion-zhen/dpo-toxic-zh\n  - unalignment/toxic-dpo-v0.2\n  - Crystalcareai/Intel-DPO-Pairs-Norefusals\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 3,
  "downloads": 98,
  "gated": false,
  "private": false,
  "last_modified": "2024-10-18T18:33:00.000Z",
  "created_at": "2024-10-18T15:50:23.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
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  "id": "RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf",
  "modelId": "RichardErkhov/Orion-zhen_-_Qwen2.5-7B-Instruct-Uncensored-gguf",
  "sha": "6d2cd5498159cd01b17aae447298fb3b5c69ce8f",
  "createdAt": "2024-10-18T15:50:23.000Z",
  "lastModified": "2024-10-18T18:33:00.000Z",
  "author": "RichardErkhov",
  "downloads": 98,
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  "siblings_count": 24
}