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| Name | Quant method | Size |
|---|---|---|
| SN29-C00-llama-HK14-1.Q2_K.gguf | Q2_K | 2.72GB |
| SN29-C00-llama-HK14-1.IQ3_XS.gguf | IQ3_XS | 2.99GB |
| SN29-C00-llama-HK14-1.IQ3_S.gguf | IQ3_S | 3.12GB |
| SN29-C00-llama-HK14-1.Q3_K_S.gguf | Q3_K_S | 3.11GB |
| SN29-C00-llama-HK14-1.IQ3_M.gguf | IQ3_M | 3.2GB |
| SN29-C00-llama-HK14-1.Q3_K.gguf | Q3_K | 3.38GB |
| SN29-C00-llama-HK14-1.Q3_K_M.gguf | Q3_K_M | 3.38GB |
| SN29-C00-llama-HK14-1.Q3_K_L.gguf | Q3_K_L | 3.54GB |
| SN29-C00-llama-HK14-1.IQ4_XS.gguf | IQ4_XS | 3.62GB |
| SN29-C00-llama-HK14-1.Q4_0.gguf | Q4_0 | 3.71GB |
| SN29-C00-llama-HK14-1.IQ4_NL.gguf | IQ4_NL | 3.75GB |
| SN29-C00-llama-HK14-1.Q4_K_S.gguf | Q4_K_S | 3.91GB |
| SN29-C00-llama-HK14-1.Q4_K.gguf | Q4_K | 4.2GB |
| SN29-C00-llama-HK14-1.Q4_K_M.gguf | Q4_K_M | 4.2GB |
| SN29-C00-llama-HK14-1.Q4_1.gguf | Q4_1 | 4.09GB |
| SN29-C00-llama-HK14-1.Q5_0.gguf | Q5_0 | 4.46GB |
| SN29-C00-llama-HK14-1.Q5_K_S.gguf | Q5_K_S | 4.56GB |
| SN29-C00-llama-HK14-1.Q5_K.gguf | Q5_K | 4.8GB |
| SN29-C00-llama-HK14-1.Q5_K_M.gguf | Q5_K_M | 4.8GB |
| SN29-C00-llama-HK14-1.Q5_1.gguf | Q5_1 | 4.84GB |
| SN29-C00-llama-HK14-1.Q6_K.gguf | Q6_K | 5.63GB |
| SN29-C00-llama-HK14-1.Q8_0.gguf | Q8_0 | 6.82GB |
1from transformers import GPT2TokenizerFast
2
3tokenizer = GPT2TokenizerFast.from_pretrained('Xenova/gpt-4')
4assert tokenizer.encode('hello world') == [15339, 1917]1import { AutoTokenizer } from '@xenova/transformers';
2
3const tokenizer = await AutoTokenizer.from_pretrained('Xenova/gpt-4');
4const tokens = tokenizer.encode('hello world'); // [15339, 1917]