MADLAD-400-10B-MT - GGUF
- Original model: MADLAD-400-10B-MT
Description
This repo contains GGUF format model files for MADLAD-400-10B-MT for use with llama.cpp and compatible software.
Converted to gguf using llama.cpp convert_hf_to_gguf.py and quantized using llama.cpp llama-quantize, llama.cpp version b3325.
Provided files
| Name | Quant method | Bits | Size | VRAM required |
|---|---|---|---|---|
| model-q3_k_m.gguf | Q3_K_M | 3 | 4.9 GB | 5.7 GB |
| model-q4_k_m.gguf | Q4_K_M | 4 | 6.3 GB | 7.1 GB |
| model-q5_k_m.gguf | Q5_K_M | 5 | 7.2 GB | 7.9 GB |
| model-q6_k.gguf | Q6_K | 6 | 8.2 GB | 8.9 GB |
| model-q8_0.gguf | Q8_0 | 8 | 11 GB | 11.3 GB |
Note: the above VRAM usage figures are observed with all layers GPU offloading, on Linux with NVIDIA GPU.
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Model tree for thirteenbit/madlad400-10b-mt-gguf
Base model
google/madlad400-10b-mt