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| Name | Quant method | Size |
|---|---|---|
| Myrrh_solar_10.7b_3.0.Q2_K.gguf | Q2_K | 3.73GB |
| Myrrh_solar_10.7b_3.0.IQ3_XS.gguf | IQ3_XS | 4.14GB |
| Myrrh_solar_10.7b_3.0.IQ3_S.gguf | IQ3_S | 4.37GB |
| Myrrh_solar_10.7b_3.0.Q3_K_S.gguf | Q3_K_S | 4.34GB |
| Myrrh_solar_10.7b_3.0.IQ3_M.gguf | IQ3_M | 4.51GB |
| Myrrh_solar_10.7b_3.0.Q3_K.gguf | Q3_K | 4.84GB |
| Myrrh_solar_10.7b_3.0.Q3_K_M.gguf | Q3_K_M | 4.84GB |
| Myrrh_solar_10.7b_3.0.Q3_K_L.gguf | Q3_K_L | 5.26GB |
| Myrrh_solar_10.7b_3.0.IQ4_XS.gguf | IQ4_XS | 5.43GB |
| Myrrh_solar_10.7b_3.0.Q4_0.gguf | Q4_0 | 5.66GB |
| Myrrh_solar_10.7b_3.0.IQ4_NL.gguf | IQ4_NL | 5.72GB |
| Myrrh_solar_10.7b_3.0.Q4_K_S.gguf | Q4_K_S | 5.7GB |
| Myrrh_solar_10.7b_3.0.Q4_K.gguf | Q4_K | 6.02GB |
| Myrrh_solar_10.7b_3.0.Q4_K_M.gguf | Q4_K_M | 6.02GB |
| Myrrh_solar_10.7b_3.0.Q4_1.gguf | Q4_1 | 6.27GB |
| Myrrh_solar_10.7b_3.0.Q5_0.gguf | Q5_0 | 6.89GB |
| Myrrh_solar_10.7b_3.0.Q5_K_S.gguf | Q5_K_S | 6.89GB |
| Myrrh_solar_10.7b_3.0.Q5_K.gguf | Q5_K | 7.08GB |
| Myrrh_solar_10.7b_3.0.Q5_K_M.gguf | Q5_K_M | 7.08GB |
| Myrrh_solar_10.7b_3.0.Q5_1.gguf | Q5_1 | 7.51GB |
| Myrrh_solar_10.7b_3.0.Q6_K.gguf | Q6_K | 8.2GB |
| Myrrh_solar_10.7b_3.0.Q8_0.gguf | Q8_0 | 10.62GB |
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
repo = "MoaData/Myrrh_solar_10.7b_3.0"
model = AutoModelForCausalLM.from_pretrained(
repo,
return_dict=True,
torch_dtype=torch.float16,
device_map='auto'
)
tokenizer = AutoTokenizer.from_pretrained(repo)