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RichardErkhov/Cartinoe5930_-_Llama2_init_Mistral-gguf
Cartinoe5930_-_Llama2_init_Mistral-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
196
17% of all-time downloads
All-time downloads
1.1K
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82.2 GB
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.gguf95.2 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
Llama2_init_Mistral - GGUF
| Name | Quant method | Size |
|---|---|---|
| Llama2_init_Mistral.Q2_K.gguf | Q2_K | 2.53GB |
| Llama2_init_Mistral.IQ3_XS.gguf | IQ3_XS | 2.81GB |
| Llama2_init_Mistral.IQ3_S.gguf | IQ3_S | 2.96GB |
| Llama2_init_Mistral.Q3_K_S.gguf | Q3_K_S | 2.95GB |
| Llama2_init_Mistral.IQ3_M.gguf | IQ3_M | 3.06GB |
| Llama2_init_Mistral.Q3_K.gguf | Q3_K | 3.28GB |
| Llama2_init_Mistral.Q3_K_M.gguf | Q3_K_M | 3.28GB |
| Llama2_init_Mistral.Q3_K_L.gguf | Q3_K_L | 3.56GB |
| Llama2_init_Mistral.IQ4_XS.gguf | IQ4_XS | 3.67GB |
| Llama2_init_Mistral.Q4_0.gguf | Q4_0 | 3.83GB |
| Llama2_init_Mistral.IQ4_NL.gguf | IQ4_NL | 3.87GB |
| Llama2_init_Mistral.Q4_K_S.gguf | Q4_K_S | 3.86GB |
| Llama2_init_Mistral.Q4_K.gguf | Q4_K | 4.07GB |
| Llama2_init_Mistral.Q4_K_M.gguf | Q4_K_M | 4.07GB |
| Llama2_init_Mistral.Q4_1.gguf | Q4_1 | 4.24GB |
| Llama2_init_Mistral.Q5_0.gguf | Q5_0 | 4.65GB |
| Llama2_init_Mistral.Q5_K_S.gguf | Q5_K_S | 4.65GB |
| Llama2_init_Mistral.Q5_K.gguf | Q5_K | 4.78GB |
| Llama2_init_Mistral.Q5_K_M.gguf | Q5_K_M | 4.78GB |
| Llama2_init_Mistral.Q5_1.gguf | Q5_1 | 5.07GB |
| Llama2_init_Mistral.Q6_K.gguf | Q6_K | 5.53GB |
| Llama2_init_Mistral.Q8_0.gguf | Q8_0 | 7.17GB |
This model is the base model implementation of SOLAR-10.7B. The architecture of base model is Llama2 architecture and initialized with weights of Mistral.
Please check specific details in the GitHub Repository.
GitHub Repository: https://github.com/gauss5930/iDUS
| Model | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K | Average |
|---|---|---|---|---|---|---|---|
| Llama2_init_Mistral | 60.07 | 83.3 | 64.09 | 42.15 | 78.37 | 37.91 | 60.98 |