Model Card on HF 🤗: https://huggingface.co/jq/nllb-3.3b-salt-lr2e-4-fp16
Nllb 3.3B Salt Lr2e 4 Fp16 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 3.3B Salt Lr2e 4 Fp16 Parameters and Internals
| LLM Name | Nllb 3.3B Salt Lr2e 4 Fp16 |
| Repository 🤗 | https://huggingface.co/jq/nllb-3.3b-salt-lr2e-4-fp16 |
| Model Size | 3.3b |
| Required VRAM | 13.4 GB |
| Updated | 2025-09-23 |
| Maintainer | jq |
| Model Type | m2m_100 |
| Model Files | |
| Quantization Type | fp16 |
| Model Architecture | TrainableM2MForConditionalGeneration |
| Context Length | 1024 |
| Model Max Length | 1024 |
| Transformers Version | 4.50.3 |
| Tokenizer Class | NllbTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256206 |
| Torch Data Type | float32 |
| Activation Function | relu |
Rank the Nllb 3.3B Salt Lr2e 4 Fp16 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124