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| Architecture | Llama (LlamaForCausalLM) |
| Parameters | ~8B |
| Hidden size | 4096 |
| Layers | 32 |
| Attention heads | 32 (8 KV heads) |
| Context length | 8192 |
| Quantization | Ternary ({-1, 0, 1}) |
| Source model | HF1BitLLM/Llama3-8B-1.58-100B-tokens |
| License | Meta Llama 3 Community License |
1pip install trillim
2trillim pull Trillim/Llama3-TRNQ
3trillim serve Trillim/Llama3-TRNQhttp://127.0.0.1:8000.trillim chat Trillim/Llama3-TRNQ| File | Description |
|---|---|
qmodel.tensors | Ternary-quantized weights in Trillim format |
rope.cache | Precomputed RoPE embeddings |
config.json | Model configuration |
tokenizer.json | Tokenizer |
tokenizer_config.json | Tokenizer configuration |
trillim_config.json | Trillim metadata |