---
license: apache-2.0
base_model:
  - state-spaces/mamba-130m
  - state-spaces/mamba-370m
  - state-spaces/mamba-790m
  - state-spaces/mamba-1.4b
  - state-spaces/mamba-2.8b
  - state-spaces/mamba-2.8b-slimpj
---

# Mamba GGUF

These are the Mamba base models, converted to GGUF for use with [llama.cpp](https://github.com/ggerganov/llama.cpp), in a variety of precisions (2, 3, 4, 5, 6, 8, 16, and 32-bit).

Please click "Files and versions" at the top of the page to choose your desired model size, and then click the "`📦LFS  `  `  ↓`" button next to your desired quantization.

Here is a table adapted from [TheBloke](https://huggingface.co/TheBloke) explaining the various precisions:

| Quant method | Use case |
| ---- | ---- |
| Q2_K | significant quality loss - not recommended for most purposes |
| Q3_K_S | very small, high quality loss |
| Q3_K_M | very small, high quality loss |
| Q3_K_L | small, substantial quality loss |
| Q4_0 | legacy; small, very high quality loss - prefer using Q3_K_M |
| Q4_K_S | small, greater quality loss |
| Q4_K_M | medium, balanced quality - recommended |
| Q5_0 | legacy; medium, balanced quality - prefer using Q4_K_M |
| Q5_K_S | large, low quality loss - recommended |
| Q5_K_M | large, very low quality loss - recommended |
| Q6_K | very large, extremely low quality loss |
| Q8_0 | very large, extremely low quality loss - not recommended |
| F16 | half precision - almost identical to the original |
| F32 | original precision - recommended by the Mamba authors |