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mohamed-ahmed161/llama-3-8b-instruct-bnb-gguf-medicalqnadataset Q4_K_M 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

mohamed-ahmed161/llama-3-8b-instruct-bnb-gguf-medicalqnadataset overview

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

transformersggufllamatext-generation-inferenceunslothenbase_model:unsloth/llama-3-8b-Instruct-bnb-4bitbase_model:quantized:unsloth/llama-3-8b-Instruct-bnb-4bitlicense:apache-2.0endpoints_compatibleregion:usconversational
mohamed-ahmed161/llama-3-8b-instruct-bnb-gguf-medicalqnadataset visual
Downloads
86
Likes
3
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

1 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
llama-3-8b-Instruct-bnb-gguf-MedicalQnADataset-unsloth.Q4_K_M.gguf GGUF Q4_K_M 4.58 GB Download

Model Details Live

Model Slug
mohamed-ahmed161/llama-3-8b-instruct-bnb-gguf-medicalqnadataset
Author
Mohamed-Ahmed161
Pipeline Task
Library
transformers
Created
2024-05-29
Last Modified
2024-05-29
Gated
No
Private
No
HF SHA
ea6627082f10e31f731655015b5b9d59b7a0889e
License
apache-2.0
Language
en
Base Model
unsloth/llama-3-8b-Instruct-bnb-4bit

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "language": [
      "en"
    ],
    "license": "apache-2.0",
    "tags": [
      "text-generation-inference",
      "transformers",
      "unsloth",
      "llama",
      "gguf"
    ],
    "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit",
    "frontmatter": {
      "language": [
        "en"
      ],
      "license": "apache-2.0",
      "tags": [
        "text-generation-inference",
        "transformers",
        "unsloth",
        "llama",
        "gguf"
      ],
      "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"
    },
    "hero_image_url": "https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png",
    "summary": "This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlanguage:\n- en\nlicense: apache-2.0\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- llama\n- gguf\nbase_model: unsloth/llama-3-8b-Instruct-bnb-4bit\n---\n\n# Uploaded  model\n\n- **Developed by:** Mohamed-Ahmed161\n- **License:** apache-2.0\n- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit\n\nThis llama 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",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "llama",
    "text-generation-inference",
    "unsloth",
    "en",
    "base_model:unsloth/llama-3-8b-Instruct-bnb-4bit",
    "base_model:quantized:unsloth/llama-3-8b-Instruct-bnb-4bit",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 3,
  "downloads": 86,
  "gated": false,
  "private": false,
  "last_modified": "2024-05-29T13:19:30.000Z",
  "created_at": "2024-05-29T13:17:31.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "66572aeb353450537c6706e1",
  "id": "Mohamed-Ahmed161/llama-3-8b-Instruct-bnb-gguf-MedicalQnADataset",
  "modelId": "Mohamed-Ahmed161/llama-3-8b-Instruct-bnb-gguf-MedicalQnADataset",
  "sha": "ea6627082f10e31f731655015b5b9d59b7a0889e",
  "createdAt": "2024-05-29T13:17:31.000Z",
  "lastModified": "2024-05-29T13:19:30.000Z",
  "author": "Mohamed-Ahmed161",
  "downloads": 86,
  "likes": 3,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 4
}