New GGMLv3 format for breaking llama.cpp change May 19th commit 2d5db48
Browse files
README.md
CHANGED
@@ -18,27 +18,29 @@ GGML files are for CPU inference using [llama.cpp](https://github.com/ggerganov/
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* [4bit and 5bit GGML models for GPU inference](https://huggingface.co/TheBloke/GPT4ALL-13B-snoozy-GGML).
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* [Nomic.AI's original model in float32 HF for GPU inference](https://huggingface.co/nomic-ai/gpt4all-13b-snoozy).
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## REQUIRES LATEST LLAMA.CPP (May
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llama.cpp recently made
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I have
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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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`GPT4All-13B-snoozy.q4_0.bin` | q4_0 | 4bit | 8.14GB |
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`GPT4All-13B-snoozy.
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`GPT4All-13B-snoozy.
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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 12 -m GPT4All-13B-snoozy.
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### Instruction:
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Write a story about llamas
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### Response:"
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@@ -51,16 +53,6 @@ If you want to have a chat-style conversation, replace the `-p <PROMPT>` argumen
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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: at this time text-generation-webui will not support the newly updated llama.cpp quantisation methods.
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**Thireus** has written a [great guide on how to update it to the latest llama.cpp code](https://huggingface.co/TheBloke/wizardLM-7B-GGML/discussions/5) which may help get the newly updated llama.cpp quantisation methods working in text-gen-ui sooner.
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## Repositories available
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* [4bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/GPT4ALL-13B-snoozy-GPTQ).
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* [4bit and 5bit GGML models for GPU inference](https://huggingface.co/TheBloke/GPT4ALL-13B-snoozy-GGML).
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* [Nomic.AI's original model in float32 HF for GPU inference](https://huggingface.co/nomic-ai/gpt4all-13b-snoozy).
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# Original Model Card for GPT4All-13b-snoozy
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* [4bit and 5bit GGML models for GPU inference](https://huggingface.co/TheBloke/GPT4ALL-13B-snoozy-GGML).
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* [Nomic.AI's original model in float32 HF for GPU inference](https://huggingface.co/nomic-ai/gpt4all-13b-snoozy).
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## THE FILES IN MAIN BRANCH REQUIRES LATEST LLAMA.CPP (May 19th 2023 - commit 2d5db48)!
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llama.cpp recently made another breaking change to its quantisation methods - https://github.com/ggerganov/llama.cpp/pull/1508
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I have quantised the GGML files in this repo with the latest version. Therefore you will require llama.cpp compiled on May 19th or later (commit `2d5db48` or later) to use them.
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For files compatible with the previous version of llama.cpp, please see branch `previous_llama_ggmlv2`.
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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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`GPT4All-13B-snoozy.ggmlv3.q4_0.bin` | q4_0 | 4bit | 8.14GB | 10.5GB | 4-bit. |
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`GPT4All-13B-snoozy.ggmlv3.q4_1.bin` | q4_1 | 4bit | 8.95GB | 11.5GB | 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models. |
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`GPT4All-13B-snoozy.ggmlv3.q5_0.bin` | q5_0 | 5bit | 8.95GB | 11.0GB | 5-bit. Higher accuracy, higher resource usage and slower inference. |
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`GPT4All-13B-snoozy.ggmlv3.q5_1.bin` | q5_1 | 5bit | 9.76GB | 12.25GB | 5-bit. Even higher accuracy, higher resource usage and slower inference. |
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`GPT4All-13B-snoozy.ggmlv3.q8_0.bin` | q5_1 | 5bit | 9.76GB | 17GB | 5-bit. Even higher accuracy, higher 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 12 -m GPT4All-13B-snoozy.ggmlv3.q5_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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# Original Model Card for GPT4All-13b-snoozy
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