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README.md
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@@ -15,18 +15,21 @@ This repo contains GGML files for for CPU inference using [llama.cpp](https://gi
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* [4bit and 5bit GGML models for CPU inference in llama.cpp](https://huggingface.co/TheBloke/dromedary-65B-lora-GGML)
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* [float16 unquantised model for GPU](https://huggingface.co/TheBloke/dromedary-65B-lora-HF)
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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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`dromedary-lora-65B.ggml.q4_0.bin` | q4_0 | 4bit | 40.8GB | 43GB |
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`dromedary-lora-65B.ggml.
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`dromedary-lora-65B.ggml.
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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
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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 26
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# Original Dromedary Model Card
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* [4bit and 5bit GGML models for CPU inference in llama.cpp](https://huggingface.co/TheBloke/dromedary-65B-lora-GGML)
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* [float16 unquantised model for GPU](https://huggingface.co/TheBloke/dromedary-65B-lora-HF)
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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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`dromedary-lora-65B.ggml.q4_0.bin` | q4_0 | 4bit | 40.8GB | 43GB | 4-bit. |
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`dromedary-lora-65B.ggml.q5_0.bin` | q5_0 | 5bit | 44.9GB | 47GB | 5-bit. Higher accuracy, higher resource usage and slower inference. |
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`dromedary-lora-65B.ggml.q5_1.bin` | q5_1 | 5bit | 49GB | 51GB | 5-bit. Even higher accuracy, higher resource usage and slower inference. |
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# Original Dromedary Model Card
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