Model Card on HF 🤗: https://huggingface.co/next-social/nllb-200-distilled-600M-int8
Nllb 200 Distilled 600M Int8 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Nllb 200 Distilled 600M Int8 Parameters and Internals
| LLM Name | Nllb 200 Distilled 600M Int8 |
| Repository 🤗 | https://huggingface.co/next-social/nllb-200-distilled-600M-int8 |
| Model Size | 600m |
| Required VRAM | 0.6 GB |
| Updated | 2025-09-23 |
| Maintainer | next-social |
| Model Files | |
| Model Architecture | AutoModel |
Rank the Nllb 200 Distilled 600M Int8 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124