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README.md
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The files in this repo were then quantized to 4bit and 5bit for use with [llama.cpp](https://github.com/ggerganov/llama.cpp).
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##
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| Name | Quant method | Bits | Size | RAM required | Use case |
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`gpt4-alpaca-lora-30B.GGML.q4_0.bin` | q4_0 | 4bit | 20.3GB | 23GB | Maximum compatibility |
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`gpt4-alpaca-lora-30B.GGML.q4_2.bin` | q4_2 | 4bit | 20.3GB | 23GB | Best compromise between resources, speed and quality |
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`gpt4-alpaca-lora-30B.GGML.q5_0.bin` | q5_0 | 5bit | 22.4GB | 25GB | Brand new 5bit method. Potentially higher quality than 4bit, at cost of slightly higher resources. |
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`gpt4-alpaca-lora-30B.GGML.q5_1.bin` | q5_1 | 5bit | 24.4GB | 27GB | Brand new 5bit method. Slightly higher resource usage than q5_0.|
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* The q4_0 file provides lower quality, but maximal compatibility. It will work with past and future versions of llama.cpp* The q4_0 file provides lower quality, but maximal compatibility. It will work with past and future versions of llama.cpp
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* The q4_2 file offers the best combination of performance and quality. This format is still subject to change and there may be compatibility issues, see below.
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* The q5_0 file is using brand new 5bit method released 26th April. This is the 5bit equivalent of q4_0.
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* The q5_1 file is using brand new 5bit method released 26th April. This is the 5bit equivalent of q4_1.
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## q4_2 compatibility
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q4_2 is a relatively new 4bit quantisation method offering improved quality. However they are still under development and their formats are subject to change.
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##
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## How to run in `llama.cpp`
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I use the following command line; adjust for your tastes and needs:
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```
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./main -t 18 -m gpt4-alpaca-lora-30B.GGML.
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### Instruction:
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Write a story about llamas
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### Response:"
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Further instructions here: [text-generation-webui/docs/llama.cpp-models.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp-models.md).
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# Original GPT4 Alpaca Lora model card
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This repository comes with LoRA checkpoint to make LLaMA into a chatbot like language model. The checkpoint is the output of instruction following fine-tuning process with the following settings on 8xA100(40G) DGX system.
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The files in this repo were then quantized to 4bit and 5bit for use with [llama.cpp](https://github.com/ggerganov/llama.cpp).
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## REQUIRES LATEST LLAMA.CPP (May 12th 2023 - commit b9fd7ee)!
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llama.cpp recently made a breaking change to its quantisation methods.
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I have re-quantised the GGML files in this repo. Therefore you will require llama.cpp compiled on May 12th or later (commit `b9fd7ee` or later) to use them.
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The previous files, which will still work in older versions of llama.cpp, can be found in branch `previous_llama`.
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## Provided files
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| Name | Quant method | Bits | Size | RAM required | Use case |
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| ---- | ---- | ---- | ---- | ---- | ----- |
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`gpt4-alpaca-lora-30B.ggml.q4_0.bin` | q4_0 | 4bit | 20.3GB | 23GB | 4bit. |
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`gpt4-alpaca-lora-30B.ggml.q5_0.bin` | q5_0 | 5bit | 22.4GB | 25GB | 5bit. Higher accuracy, higher resource usage, slower inference. |
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`gpt4-alpaca-lora-30B.ggml.q5_1.bin` | q5_1 | 5bit | 24.4GB | 27GB | 5bit. Even higher accuracy and resource usage, and slower inference. |
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## How to run in `llama.cpp`
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I use the following command line; adjust for your tastes and needs:
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```
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./main -t 18 -m gpt4-alpaca-lora-30B.GGML.q4_0.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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Write a story about llamas
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### Response:"
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Further instructions here: [text-generation-webui/docs/llama.cpp-models.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp-models.md).
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Note that as of May 12th, text-gen-ui likely won't support the newly updated GGML models until it's been updated.
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# Original GPT4 Alpaca Lora model card
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This repository comes with LoRA checkpoint to make LLaMA into a chatbot like language model. The checkpoint is the output of instruction following fine-tuning process with the following settings on 8xA100(40G) DGX system.
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