Include exllamav2 quants (#1)

- Include exllamav2 quants (c90e004a2fe0ce30d84255ce2e8aeb47195e32c1)


Co-authored-by: Bartowski <[email protected]>

README.md

@@ -34,6 +34,20 @@ gen_input = tokenizer.apply_chat_template(messages, return_tensors="pt")
 
 Available [here](https://huggingface.co/macadeliccc/MBX-7B-v3-DPO-GGUF/tree/main)
 
+## Exllamav2
+
+Quants are available from bartowski, check them out [here](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2)
+
+Download the size you want below, VRAM figures are estimates.
+
+| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
+| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
+| [8_0](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
+| [6_5](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
+| [5_0](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB |  9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
+| [4_25](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
+| [3_5](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
+
 ## Evaluations
 
 ## EQ-Bench Comparison