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devquasar/analytical_reasoning_r16a32_unsloth-llama-3.2-3b-instruct-bnb-4bit-gguf 3B.Q8_0 GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

devquasar/analytical_reasoning_r16a32_unsloth-llama-3.2-3b-instruct-bnb-4bit-gguf overview

'Make knowledge free for everyone' Quantized version of: analyticalreasoningr16a32_unsloth-Llama-3/2-3B-Instruct-bnb-4bit

gguftext-generationendpoints_compatibleregion:usconversational
devquasar/analytical_reasoning_r16a32_unsloth-llama-3.2-3b-instruct-bnb-4bit-gguf visual
Downloads
124
Likes
3
Pipeline
text-generation
Library
Visibility
Public
Access
Open

Repository Files & Downloads

5 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
analytical_reasoning_r16a32_unsloth-Llama-3.2-3B.F16.gguf GGUF F16 5.99 GB Download
analytical_reasoning_r16a32_unsloth-Llama-3.2-3B.Q4_K_M.gguf GGUF Q4_K_M 1.88 GB Download
analytical_reasoning_r16a32_unsloth-Llama-3.2-3B.Q5_1.gguf GGUF 2.28 GB Download
analytical_reasoning_r16a32_unsloth-Llama-3.2-3B.Q6_K.gguf GGUF Q6_K 2.46 GB Download
analytical_reasoning_r16a32_unsloth-Llama-3.2-3B.Q8_0.gguf GGUF 3.19 GB Download

Model Details Live

Model Slug
devquasar/analytical_reasoning_r16a32_unsloth-llama-3.2-3b-instruct-bnb-4bit-gguf
Author
DevQuasar
Pipeline Task
text-generation
Library
Created
2024-11-28
Last Modified
2025-02-01
Gated
No
Private
No
HF SHA
83b2a7ef112bf6ddba411e4d812471e3428d3b8b
License
Unknown
Language
Unknown
Base Model
analytical_reasoning_r16a32_unsloth-Llama-3/2-3B-Instruct-bnb-4bit

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": [
      "analytical_reasoning_r16a32_unsloth-Llama-3/2-3B-Instruct-bnb-4bit"
    ],
    "pipeline_tag": "text-generation",
    "frontmatter": {
      "base_model": [
        "analytical_reasoning_r16a32_unsloth-Llama-3/2-3B-Instruct-bnb-4bit"
      ],
      "pipeline_tag": "text-generation"
    },
    "hero_image_url": "https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png",
    "summary": "'Make knowledge free for everyone' Quantized version of: analytical_reasoning_r16a32_unsloth-Llama-3/2-3B-Instruct-bnb-4bit",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model:\n- analytical_reasoning_r16a32_unsloth-Llama-3/2-3B-Instruct-bnb-4bit\npipeline_tag: text-generation\n---\n\n[<img src=\"https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png\" width=\"200\"/>](https://devquasar.com)\n\n'Make knowledge free for everyone'\n\nQuantized version of: [analytical_reasoning_r16a32_unsloth-Llama-3/2-3B-Instruct-bnb-4bit](https://huggingface.co/analytical_reasoning_r16a32_unsloth-Llama-3/2-3B-Instruct-bnb-4bit)\n<a href='https://ko-fi.com/L4L416YX7C' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi6.png?v=6' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "text-generation",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 3,
  "downloads": 124,
  "gated": false,
  "private": false,
  "last_modified": "2025-02-01T23:09:10.000Z",
  "created_at": "2024-11-28T23:13:56.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "6748f9344b92fbaa9d9d3dfe",
  "id": "DevQuasar/analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit-GGUF",
  "modelId": "DevQuasar/analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit-GGUF",
  "sha": "83b2a7ef112bf6ddba411e4d812471e3428d3b8b",
  "createdAt": "2024-11-28T23:13:56.000Z",
  "lastModified": "2025-02-01T23:09:10.000Z",
  "author": "DevQuasar",
  "downloads": 124,
  "likes": 3,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "",
  "siblings_count": 9
}