---
inference: false
license: llama2
model_creator: WizardLM
model_link: https://huggingface.co/WizardLM/WizardLM-70B-V1.0
model_name: WizardLM 70B V1.0
model_type: llama
quantized_by: Thireus
---

# WizardLM 70B V1.0 - EXL2
- Model creator: [WizardLM](https://huggingface.co/WizardLM)
- Original model: [WizardLM 70B V1.0](https://huggingface.co/WizardLM/WizardLM-70B-V1.0)
- Quantized model: [WizardLM 70B V1.0-HF](https://huggingface.co/simsim314/WizardLM-70B-V1.0-HF) - float16 of WizardLM 70B V1.0

| Branch | BITS (-b) | HEAD_BITS (-hb) | MEASUREMENT_LENGTH (-ml) | LENGTH (-l) | CAL_DATASET (-c) | Size | ExLlama | Max Context Length | Desc |
| ------ | ---- | -- | --------- | ------ | ------------ | ------- | ---- | ------- | ---- |
| [main](https://huggingface.co/Thireus/WizardLM-70B-V1.0-HF-4.0bpw-h6-exl2/tree/main) | 4.0 | 6 | 2048 | 2048 | [0000.parquet - wikitext-2-raw-v1](https://huggingface.co/datasets/wikitext/tree/refs%2Fconvert%2Fparquet/wikitext-2-raw-v1/train) | 33GB | [V2](https://github.com/turboderp/exllamav2) | 4096 | Equivalent, in theory, to QPTQ 4-bit. | 

## Description

This repository contains EXL2 model files for [WizardLM's WizardLM 70B V1.0](https://huggingface.co/WizardLM/WizardLM-70B-V1.0).

EXL2 is the new format used by ExLlamaV2 - https://github.com/turboderp/exllamav2. EXL2 is based on the same optimization method as GPTQ. The format allows for mixing quantization
levels within a model to achieve any average bitrate between 2 and 8 bits per weight.

## Prompt template (official): Vicuna

```
A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: {prompt} ASSISTANT:

```

## Prompt template (Thireus' own suggestion):

```
A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
USER:
{prompt}
ASSISTANT:

```

## Quantization process

Original Model --> Float16 Model --> Safetensor Model --> EXL2 Model

Example:
[WizardLM 70B V1.0](https://huggingface.co/WizardLM/WizardLM-70B-V1.0) --> [WizardLM 70B V1.0-HF](https://huggingface.co/simsim314/WizardLM-70B-V1.0-HF) --> Safetensor --> EXL2

Use any one of the following scripts to convert your float16 pytorch_model bin files to safetensors:
- https://github.com/turboderp/exllamav2/blob/master/util/convert_safetensors.py
- https://huggingface.co/Panchovix/airoboros-l2-70b-gpt4-1.4.1-safetensors/blob/main/bin2safetensors/convert.py
- https://gist.github.com/epicfilemcnulty/1f55fd96b08f8d4d6693293e37b4c55e
- https://github.com/oobabooga/text-generation-webui/blob/main/convert-to-safetensors.py

Example to convert WizardLM-70B-V1.0-HF_float16_safetensored to EXL2 4.0 bpw with 6-bit head:
```
mkdir -p ~/EXL2/WizardLM-70B-V1.0-HF_4bit # Create the output directory
python convert.py -i ~/safetensor/WizardLM-70B-V1.0-HF_float16_safetensored -o ~/EXL2/WizardLM-70B-V1.0-HF_4bit -c ~/EXL2/0000.parquet -b 4.0 -hb 6
```