text-generation region:us
---
pipeline_tag: text-generation
quantized_by: bartowski
---

#### Special thanks to <a href="https://huggingface.co/chargoddard">Charles Goddard</a> for the conversion script to create llama models from internlm 

## Exllama v2 Quantizations of internlm2-chat-7b-sft-llama

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.

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

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/internlm/internlm2-chat-7b-sft

Model Size: 7b

| Branch | Bits | lm_head bits | Dataset | Size | Description |
| ----- | ---- | ------- | ------- | ------ | ------------ |
| [8_0](https://huggingface.co/Bartowski/internlm2-chat-7b-sft-llama-exl2/tree/8_0) | 8.0  | 8.0 | Default | 9.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| [6_5](https://huggingface.co/Bartowski/internlm2-chat-7b-sft-llama-exl2/tree/6_5) | 6.5  | 8.0 | Default | 8.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
| [5_0](https://huggingface.co/Bartowski/internlm2-chat-7b-sft-llama-exl2/tree/5_0) | 5.0  | 6.0 | Default | 7.4 GB | Slightly lower perplexity vs 6.5. |
| [4_0](https://huggingface.co/Bartowski/internlm2-chat-7b-sft-llama-exl2/tree/4_0) | 4.0 | 6.0 | Default | 6.5 GB | Just under GPTQ equivalent bits per weight. |
| [3_5](https://huggingface.co/Bartowski/internlm2-chat-7b-sft-llama-exl2/tree/3_5) | 3.5  | 6.0 | Default | 6.1 GB | Lower quality, only use if you have to. |

All VRAM requirements estimated from 16k context. For 32k context add ~2 GB.

## Download instructions

With git:

```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/internlm2-chat-7b-sft-llama-exl2
```

With huggingface hub (credit to TheBloke for instructions):

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

To download the `main` (only useful if you only care about measurement.json) branch to a folder called `internlm2-chat-7b-sft-llama-exl2`:

```shell
mkdir internlm2-chat-7b-sft-llama-exl2
huggingface-cli download bartowski/internlm2-chat-7b-sft-llama-exl2 --local-dir internlm2-chat-7b-sft-llama-exl2 --local-dir-use-symlinks False
```

To download from a different branch, add the `--revision` parameter:

```shell
mkdir internlm2-chat-7b-sft-llama-exl2-6_5
huggingface-cli download bartowski/internlm2-chat-7b-sft-llama-exl2 --revision 6_5 --local-dir internlm2-chat-7b-sft-llama-exl2-6_5 --local-dir-use-symlinks False
```
