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| Name | Quant method | Size |
|---|---|---|
| Llama3-2B-Base.Q2_K.gguf | Q2_K | 1.02GB |
| Llama3-2B-Base.IQ3_XS.gguf | IQ3_XS | 1.11GB |
| Llama3-2B-Base.IQ3_S.gguf | IQ3_S | 1.15GB |
| Llama3-2B-Base.Q3_K_S.gguf | Q3_K_S | 1.14GB |
| Llama3-2B-Base.IQ3_M.gguf | IQ3_M | 1.16GB |
| Llama3-2B-Base.Q3_K.gguf | Q3_K | 1.2GB |
| Llama3-2B-Base.Q3_K_M.gguf | Q3_K_M | 1.2GB |
| Llama3-2B-Base.Q3_K_L.gguf | Q3_K_L | 1.26GB |
| Llama3-2B-Base.IQ4_XS.gguf | IQ4_XS | 1.32GB |
| Llama3-2B-Base.Q4_0.gguf | Q4_0 | 1.37GB |
| Llama3-2B-Base.IQ4_NL.gguf | IQ4_NL | 1.37GB |
| Llama3-2B-Base.Q4_K_S.gguf | Q4_K_S | 1.37GB |
| Llama3-2B-Base.Q4_K.gguf | Q4_K | 1.4GB |
| Llama3-2B-Base.Q4_K_M.gguf | Q4_K_M | 1.4GB |
| Llama3-2B-Base.Q4_1.gguf | Q4_1 | 1.48GB |
| Llama3-2B-Base.Q5_0.gguf | Q5_0 | 1.58GB |
| Llama3-2B-Base.Q5_K_S.gguf | Q5_K_S | 1.58GB |
| Llama3-2B-Base.Q5_K.gguf | Q5_K | 1.6GB |
| Llama3-2B-Base.Q5_K_M.gguf | Q5_K_M | 1.6GB |
| Llama3-2B-Base.Q5_1.gguf | Q5_1 | 1.69GB |
| Llama3-2B-Base.Q6_K.gguf | Q6_K | 1.81GB |
| Llama3-2B-Base.Q8_0.gguf | Q8_0 | 2.34GB |
1from transformers import AutoTokenizer, AutoModelForCausalLM
2
3tokenizer = AutoTokenizer.from_pretrained("andrijdavid/Llama-3-2B-Base/")
4model = AutoModelForCausalLM.from_pretrained("andrijdavid/Llama-3-2B-Base/")