---
license: apache-2.0
base_model: 01-ai/Yi-1.5-34B
tags:
- generated_from_trainer
- axolotl
datasets:
- cognitivecomputations/Dolphin-2.9
- teknium/OpenHermes-2.5
- m-a-p/CodeFeedback-Filtered-Instruction
- cognitivecomputations/dolphin-coder
- cognitivecomputations/samantha-data
- microsoft/orca-math-word-problems-200k
- Locutusque/function-calling-chatml
- internlm/Agent-FLAN
quantized_by: bartowski
pipeline_tag: text-generation
---

## Exllama v2 Quantizations of dolphin-2.9.1-yi-1.5-34b

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.21">turboderp's ExLlamaV2 v0.0.21</a> for quantization.

<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>

Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.

Original model: https://huggingface.co/cognitivecomputations/dolphin-2.9.1-yi-1.5-34b

## Prompt format

```
<|im_start|> system
{system_prompt}<|im_end|> 
<|im_start|> user
{prompt}<|im_end|> 
<|im_start|> assistant

```

## Available sizes

| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
| ------ | ---- | ------------ | ---- | ---- | ---- | ----------- |
| [8_0](https://huggingface.co/bartowski/dolphin-2.9.1-yi-1.5-34b-exl2/tree/8_0)   | 8.0  | 8.0 | 34.9 GB | 37.6 GB | 41.6 GB | Max quality producable by ExLlamav2, generally unneeded but maximum performance      |
| [6_5](https://huggingface.co/bartowski/dolphin-2.9.1-yi-1.5-34b-exl2/tree/6_5)   | 6.5  | 8.0 | 28.9 GB | 31.6 GB | 35.6 GB | Near unquantized performance at vastly reduced size, **recommended**.       |
| [5_0](https://huggingface.co/bartowski/dolphin-2.9.1-yi-1.5-34b-exl2/tree/5_0)   | 5.0  | 8.0 | 22.6 GB | 25.3 GB | 29.3 GB | Very high quality, usable at 4k context on 24GB.       |
| [4_25](https://huggingface.co/bartowski/dolphin-2.9.1-yi-1.5-34b-exl2/tree/4_25) | 4.25 | 6.0 | 19.5 GB | 22.2 GB | 26.2 GB | GPTQ equivalent bits per weight, slightly higher quality.                   |
| [3_5](https://huggingface.co/bartowski/dolphin-2.9.1-yi-1.5-34b-exl2/tree/3_5)   | 3.5  | 6.0 | 16.5 GB | 19.2 GB | 23.2 GB | Lower quality, only use if you have to.                                     |
| [3_0](https://huggingface.co/bartowski/dolphin-2.9.1-yi-1.5-34b-exl2/tree/3_0)   | 3.0  | 6.0 | 14.3 GB | 17.0 GB | 21.0 GB | Very low quality, usable with 16gb of VRAM. |

## Download instructions

With git:

```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/dolphin-2.9.1-yi-1.5-34b-exl2 dolphin-2.9.1-yi-1.5-34b-exl2-6_5
```

With huggingface hub (credit to TheBloke for instructions):

```shell
pip3 install huggingface-hub
```

To download a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch:

Linux:

```shell
huggingface-cli download bartowski/dolphin-2.9.1-yi-1.5-34b-exl2 --revision 6_5 --local-dir dolphin-2.9.1-yi-1.5-34b-exl2-6_5 --local-dir-use-symlinks False
```

Windows (which apparently doesn't like _ in folders sometimes?):

```shell
huggingface-cli download bartowski/dolphin-2.9.1-yi-1.5-34b-exl2 --revision 6_5 --local-dir dolphin-2.9.1-yi-1.5-34b-exl2-6.5 --local-dir-use-symlinks False
```

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski