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jackrong/gpt-oss-120b-distill-qwen3-1.7b-thinking-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

jackrong/gpt-oss-120b-distill-qwen3-1.7b-thinking-gguf overview

Comprehensive model page for jackrong/gpt-oss-120b-distill-qwen3-1.7b-thinking-gguf

ggufqwen3llama.cppunslothendpoints_compatibleregion:usconversational
jackrong/gpt-oss-120b-distill-qwen3-1.7b-thinking-gguf visual
Downloads
568
Likes
3
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

2 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
qwen3-1.7b.Q4_K_M.gguf GGUF Q4_K_M 1.03 GB Download
qwen3-1.7b.Q8_0.gguf GGUF 1.71 GB Download

Model Details Live

Model Slug
jackrong/gpt-oss-120b-distill-qwen3-1.7b-thinking-gguf
Author
Jackrong
Pipeline Task
Library
Created
2025-11-20
Last Modified
2025-11-20
Gated
No
Private
No
HF SHA
c1dd6d552f3394ae87d9a3685540d7939bf52f33
License
Unknown
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "tags": [
      "gguf",
      "llama.cpp",
      "unsloth"
    ],
    "frontmatter": {
      "tags": [
        "gguf",
        "llama.cpp",
        "unsloth"
      ]
    },
    "hero_image_url": "",
    "summary": "",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\ntags:\n- gguf\n- llama.cpp\n- unsloth\n\n---\n\n# gpt-oss-120b-Distill-Qwen3-1.7B-Thinking-GGUF - GGUF\n\n\n- gpt-oss-120b-Distill-Qwen3-1.7B-Thinking is a distilled model of **GPT-oss-120B**, achieving efficient resource utilization by pruning parameters and optimizing the inference path while preserving GPT style and natural language processing capabilities. In conversational scenarios, it exhibits smooth context-aware interactions, avoids over-inflation, produces concise yet logically rigorous outputs; it introduces table-based problem categorization, enhancing structured task representation, and adapting to multi-domain knowledge integration and high resource constraints environments. Its compact inference path optimizes dialogue response efficiency while retaining the natural language output style of GPT-oss, making it suitable for customer service, Q&A APIs, and educational chatbots.\n\n## Available Model files:\n- `qwen3-1.7b.Q8_0.gguf`\n- `qwen3-1.7b.Q4_K_M.gguf`\n\n## Ollama\nAn Ollama Modelfile is included for easy deployment.\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "qwen3",
    "llama.cpp",
    "unsloth",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 3,
  "downloads": 568,
  "gated": false,
  "private": false,
  "last_modified": "2025-11-20T15:13:05.000Z",
  "created_at": "2025-11-20T14:26:41.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "691f252184c7ca27d54a00bb",
  "id": "Jackrong/gpt-oss-120b-Distill-Qwen3-1.7B-Thinking-GGUF",
  "modelId": "Jackrong/gpt-oss-120b-Distill-Qwen3-1.7B-Thinking-GGUF",
  "sha": "c1dd6d552f3394ae87d9a3685540d7939bf52f33",
  "createdAt": "2025-11-20T14:26:41.000Z",
  "lastModified": "2025-11-20T15:13:05.000Z",
  "author": "Jackrong",
  "downloads": 568,
  "likes": 3,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 6
}