aoiandroid/nllb-200-distilled-600m-unsloth-gguf-mirror overview

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    "language": [
      "en",
      "ha",
      "multilingual"
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    "license": "cc-by-nc-4.0",
    "tags": [
      "translation",
      "nllb",
      "gguf",
      "unsloth",
      "eng_Latn",
      "hau_Latn"
    ],
    "datasets": [
      "facebook/nllb"
    ],
    "frontmatter": {
      "language": [
        "en",
        "ha",
        "multilingual"
      ],
      "license": "cc-by-nc-4.0",
      "tags": [
        "translation",
        "nllb",
        "gguf",
        "unsloth",
        "eng_Latn",
        "hau_Latn"
      ],
      "datasets": [
        "facebook/nllb"
      ]
    },
    "hero_image_url": "",
    "summary": "This is a **personal mirror** of AlaminI/nllb-200-distilled-600M-unsloth-GGUF on Hugging Face. **Authorship, training, and conversion credit belong to the upstream publisher and Meta (base weights).** License remains **CC BY-NC 4.0** (same as the base model); keep attribution when redistributing. **Snapshot note:** When this mirror was created, the upstream Hub repo contained only the shared ggml-vocab-*.gguf files plus this README (no large NLLB-600M weight file in that snapshot). If you need the full quantized translation weights, confirm what is actually published on the upstream repo or use facebook/nllb-200-distilled-600M with Transformers. --- # NLLB-200-Distilled-600M Unsloth GGUF GGUF-quantized version of **facebook/nllb-200-distilled-600M** (No Language Left Behind) produced with Unsloth for efficient inference.",
    "quick_links": [],
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    "readme_markdown": "---\nlanguage:\n  - en\n  - ha\n  - multilingual\nlicense: cc-by-nc-4.0\ntags:\n  - translation\n  - nllb\n  - gguf\n  - unsloth\n  - eng_Latn\n  - hau_Latn\ndatasets:\n  - facebook/nllb\n---\n\n# Mirror: NLLB-200-Distilled-600M Unsloth GGUF\n\nThis is a **personal mirror** of [AlaminI/nllb-200-distilled-600M-unsloth-GGUF](https://huggingface.co/AlaminI/nllb-200-distilled-600M-unsloth-GGUF) on Hugging Face. **Authorship, training, and conversion credit belong to the upstream publisher and Meta (base weights).** License remains **CC BY-NC 4.0** (same as the base model); keep attribution when redistributing.\n\n**Snapshot note:** When this mirror was created, the upstream Hub repo contained only the shared `ggml-vocab-*.gguf` files plus this README (no large NLLB-600M weight file in that snapshot). If you need the full quantized translation weights, confirm what is actually published on the upstream repo or use [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) with Transformers.\n\n---\n\n# NLLB-200-Distilled-600M Unsloth GGUF\n\nGGUF-quantized version of **facebook/nllb-200-distilled-600M** (No Language Left Behind) produced with [Unsloth](https://github.com/unslothai/unsloth) for efficient inference.\n\n## Model\n\n- **Base**: [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M)\n- **Format**: GGUF (e.g. `fast_quantized` ~4-bit)\n- **Use case**: Multilingual translation (200+ languages), including English ↔ Hausa (`eng_Latn` ↔ `hau_Latn`)\n\n## How it was created\n\n1. Loaded the seq2seq model with Unsloth using `AutoModelForSeq2SeqLM`.\n2. Saved a merged 16-bit HF-format checkpoint.\n3. Converted that checkpoint to GGUF with Unsloth’s `save_pretrained_gguf` (e.g. `fast_quantized`).\n4. Uploaded the GGUF file(s) to this repo.\n\n## How to use\n\n- **GGUF runtimes**: Use [llama.cpp](https://github.com/ggerganov/llama.cpp) or any GGUF-compatible runtime that supports this architecture. Download the `.gguf` file(s) from this repo and run inference there.\n- **Hugging Face Transformers**: For 16-bit inference, use the base model `facebook/nllb-200-distilled-600M` with the standard NLLB pipeline; for translation, set `src_lang` and `tgt_lang` (e.g. `eng_Latn` → `hau_Latn`).\n\n## License\n\nSame as the base model (see [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M)).\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "translation",
    "nllb",
    "unsloth",
    "eng_Latn",
    "hau_Latn",
    "en",
    "ha",
    "multilingual",
    "dataset:facebook/nllb",
    "license:cc-by-nc-4.0",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
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  "last_modified": "2026-03-24T19:03:48.000Z",
  "created_at": "2026-03-24T19:03:42.000Z",
  "pipeline_tag": "translation",
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