GraySoft
Projects Models About FAQ Contact Download guIDE →
Model Intelligence Sheet

richarderkhov/famepram_-_qwen2.5-1b-gguf overview

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

ggufendpoints_compatibleregion:us
richarderkhov/famepram_-_qwen2.5-1b-gguf visual
Downloads
176
Likes
0
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

22 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
qwen2.5-1b.IQ3_M.gguf GGUF IQ3_M 740.68 MB Download
qwen2.5-1b.IQ3_S.gguf GGUF IQ3_S 727.09 MB Download
qwen2.5-1b.IQ3_XS.gguf GGUF IQ3_XS 697.80 MB Download
qwen2.5-1b.IQ4_NL.gguf GGUF IQ4_NL 897.87 MB Download
qwen2.5-1b.IQ4_XS.gguf GGUF IQ4_XS 860.39 MB Download
qwen2.5-1b.Q2_K.gguf GGUF Q2_K 644.97 MB Download
qwen2.5-1b.Q3_K.gguf GGUF Q3_K 786.00 MB Download
qwen2.5-1b.Q3_K_L.gguf GGUF Q3_K_L 839.39 MB Download
qwen2.5-1b.Q3_K_M.gguf GGUF Q3_K_M 786.00 MB Download
qwen2.5-1b.Q3_K_S.gguf GGUF Q3_K_S 725.69 MB Download
qwen2.5-1b.Q4_0.gguf GGUF 891.64 MB Download
qwen2.5-1b.Q4_1.gguf GGUF 969.73 MB Download
qwen2.5-1b.Q4_K.gguf GGUF Q4_K 940.37 MB Download
qwen2.5-1b.Q4_K_M.gguf GGUF Q4_K_M 940.37 MB Download
qwen2.5-1b.Q4_K_S.gguf GGUF Q4_K_S 896.75 MB Download
qwen2.5-1b.Q5_0.gguf GGUF 1.02 GB Download
qwen2.5-1b.Q5_1.gguf GGUF 1.10 GB Download
qwen2.5-1b.Q5_K.gguf GGUF Q5_K 1.05 GB Download
qwen2.5-1b.Q5_K_M.gguf GGUF Q5_K_M 1.05 GB Download
qwen2.5-1b.Q5_K_S.gguf GGUF Q5_K_S 1.02 GB Download
qwen2.5-1b.Q6_K.gguf GGUF Q6_K 1.19 GB Download
qwen2.5-1b.Q8_0.gguf GGUF 1.53 GB Download

Model Details Live

Model Slug
richarderkhov/famepram_-_qwen2.5-1b-gguf
Author
RichardErkhov
Pipeline Task
Library
Created
2025-02-19
Last Modified
2025-02-19
Gated
No
Private
No
HF SHA
9b2246bf409d89a9b82451b965799379860e4c3b
License
Unknown
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "frontmatter": {},
    "hero_image_url": "https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png",
    "summary": "This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.",
    "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\nqwen2.5-1b - GGUF\n- Model creator: https://huggingface.co/famepram/\n- Original model: https://huggingface.co/famepram/qwen2.5-1b/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [qwen2.5-1b.Q2_K.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q2_K.gguf) | Q2_K | 0.63GB |\n| [qwen2.5-1b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.IQ3_XS.gguf) | IQ3_XS | 0.68GB |\n| [qwen2.5-1b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.IQ3_S.gguf) | IQ3_S | 0.71GB |\n| [qwen2.5-1b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q3_K_S.gguf) | Q3_K_S | 0.71GB |\n| [qwen2.5-1b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.IQ3_M.gguf) | IQ3_M | 0.72GB |\n| [qwen2.5-1b.Q3_K.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q3_K.gguf) | Q3_K | 0.77GB |\n| [qwen2.5-1b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q3_K_M.gguf) | Q3_K_M | 0.77GB |\n| [qwen2.5-1b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q3_K_L.gguf) | Q3_K_L | 0.82GB |\n| [qwen2.5-1b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.IQ4_XS.gguf) | IQ4_XS | 0.84GB |\n| [qwen2.5-1b.Q4_0.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q4_0.gguf) | Q4_0 | 0.87GB |\n| [qwen2.5-1b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.IQ4_NL.gguf) | IQ4_NL | 0.88GB |\n| [qwen2.5-1b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q4_K_S.gguf) | Q4_K_S | 0.88GB |\n| [qwen2.5-1b.Q4_K.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q4_K.gguf) | Q4_K | 0.92GB |\n| [qwen2.5-1b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q4_K_M.gguf) | Q4_K_M | 0.92GB |\n| [qwen2.5-1b.Q4_1.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q4_1.gguf) | Q4_1 | 0.95GB |\n| [qwen2.5-1b.Q5_0.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q5_0.gguf) | Q5_0 | 1.02GB |\n| [qwen2.5-1b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q5_K_S.gguf) | Q5_K_S | 1.02GB |\n| [qwen2.5-1b.Q5_K.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q5_K.gguf) | Q5_K | 1.05GB |\n| [qwen2.5-1b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q5_K_M.gguf) | Q5_K_M | 1.05GB |\n| [qwen2.5-1b.Q5_1.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q5_1.gguf) | Q5_1 | 1.1GB |\n| [qwen2.5-1b.Q6_K.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q6_K.gguf) | Q6_K | 1.19GB |\n| [qwen2.5-1b.Q8_0.gguf](https://huggingface.co/RichardErkhov/famepram_-_qwen2.5-1b-gguf/blob/main/qwen2.5-1b.Q8_0.gguf) | Q8_0 | 1.53GB |\n\n\n\n\nOriginal model description:\n---\nbase_model: unsloth/qwen2.5-1.5b-bnb-4bit\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- qwen2\n- trl\n- sft\nlicense: apache-2.0\nlanguage:\n- en\n---\n\n# Uploaded  model\n\n- **Developed by:** famepram\n- **License:** apache-2.0\n- **Finetuned from model :** unsloth/qwen2.5-1.5b-bnb-4bit\n\nThis qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.\n\n[<img src=\"https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png\" width=\"200\"/>](https://github.com/unslothai/unsloth)\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 176,
  "gated": false,
  "private": false,
  "last_modified": "2025-02-19T22:24:46.000Z",
  "created_at": "2025-02-19T21:41:41.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "67b65015848b843f0c17415e",
  "id": "RichardErkhov/famepram_-_qwen2.5-1b-gguf",
  "modelId": "RichardErkhov/famepram_-_qwen2.5-1b-gguf",
  "sha": "9b2246bf409d89a9b82451b965799379860e4c3b",
  "createdAt": "2025-02-19T21:41:41.000Z",
  "lastModified": "2025-02-19T22:24:46.000Z",
  "author": "RichardErkhov",
  "downloads": 176,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 24
}