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@@ -29,23 +29,25 @@ quantized_by: TheBloke
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  - Model creator: [Caleb Morgan](https://huggingface.co/The-Face-Of-Goonery)
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  - Original model: [Huginn v3 13B](https://huggingface.co/The-Face-Of-Goonery/Huginn-v3-13b)
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  ## Description
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  This repo contains GGUF format model files for [Caleb Morgan's Huginn v3 13B](https://huggingface.co/The-Face-Of-Goonery/Huginn-v3-13b).
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  <!-- README_GGUF.md-about-gguf start -->
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  ### About GGUF
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- GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
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- The key benefit of GGUF is that it is a extensible, future-proof format which stores more information about the model as metadata. It also includes significantly improved tokenization code, including for the first time full support for special tokens. This should improve performance, especially with models that use new special tokens and implement custom prompt templates.
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- Here are a list of clients and libraries that are known to support GGUF:
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- * [llama.cpp](https://github.com/ggerganov/llama.cpp).
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- * [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions.
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- * [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with full GPU accel across multiple platforms and GPU architectures. Especially good for story telling.
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- * [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI with GPU acceleration on both Windows (NVidia and AMD), and macOS.
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  * [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
 
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  * [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server.
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  * [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
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  * [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
@@ -74,12 +76,14 @@ Below is an instruction that describes a task. Write a response that appropriate
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  ```
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  <!-- prompt-template end -->
 
 
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  <!-- compatibility_gguf start -->
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  ## Compatibility
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- These quantised GGUF files are compatible with llama.cpp from August 21st 2023 onwards, as of commit [6381d4e110bd0ec02843a60bbeb8b6fc37a9ace9](https://github.com/ggerganov/llama.cpp/commit/6381d4e110bd0ec02843a60bbeb8b6fc37a9ace9)
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- They are now also compatible with many third party UIs and libraries - please see the list at the top of the README.
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  ## Explanation of quantisation methods
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  <details>
@@ -123,18 +127,15 @@ Refer to the Provided Files table below to see what files use which methods, and
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  <!-- README_GGUF.md-how-to-run start -->
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  ## Example `llama.cpp` command
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- Make sure you are using `llama.cpp` from commit [6381d4e110bd0ec02843a60bbeb8b6fc37a9ace9](https://github.com/ggerganov/llama.cpp/commit/6381d4e110bd0ec02843a60bbeb8b6fc37a9ace9) or later.
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-
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- For compatibility with older versions of llama.cpp, or for any third-party libraries or clients that haven't yet updated for GGUF, please use GGML files instead.
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  ```
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- ./main -t 10 -ngl 32 -m huginn-v3-13b.q4_K_M.gguf --color -c 4096 --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.\n\n### Instruction:\n{prompt}\n\n### Response:"
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- ```
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- Change `-t 10` to the number of physical CPU cores you have. For example if your system has 8 cores/16 threads, use `-t 8`. If offloading all layers to GPU, set `-t 1`.
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  Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.
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- Change `-c 4096` to the desired sequence length for this model. For extended sequence models - eg 8K, 16K, 32K - the necessary RoPE scaling parameters are read from the GGUF file and set by llama.cpp automatically.
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  If you want to have a chat-style conversation, replace the `-p <PROMPT>` argument with `-i -ins`
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@@ -191,10 +192,12 @@ For further support, and discussions on these models and AI in general, join us
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  [TheBloke AI's Discord server](https://discord.gg/theblokeai)
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- ## Thanks, and how to contribute.
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  Thanks to the [chirper.ai](https://chirper.ai) team!
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  I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.
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  If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.
 
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  - Model creator: [Caleb Morgan](https://huggingface.co/The-Face-Of-Goonery)
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  - Original model: [Huginn v3 13B](https://huggingface.co/The-Face-Of-Goonery/Huginn-v3-13b)
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+ <!-- description start -->
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  ## Description
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  This repo contains GGUF format model files for [Caleb Morgan's Huginn v3 13B](https://huggingface.co/The-Face-Of-Goonery/Huginn-v3-13b).
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+ <!-- description end -->
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  <!-- README_GGUF.md-about-gguf start -->
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  ### About GGUF
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+ GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp. GGUF offers numerous advantages over GGML, such as better tokenisation, and support for special tokens. It is also supports metadata, and is designed to be extensible.
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+ Here is an incomplate list of clients and libraries that are known to support GGUF:
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+ * [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
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+ * [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
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+ * [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
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+ * [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration.
 
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  * [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
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+ * [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
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  * [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server.
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  * [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
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  * [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
 
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  ```
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  <!-- prompt-template end -->
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+
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+
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  <!-- compatibility_gguf start -->
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  ## Compatibility
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+ These quantised GGUFv2 files are compatible with llama.cpp from August 27th onwards, as of commit [d0cee0d36d5be95a0d9088b674dbb27354107221](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221)
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+ They are also compatible with many third party UIs and libraries - please see the list at the top of this README.
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  ## Explanation of quantisation methods
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  <details>
 
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  <!-- README_GGUF.md-how-to-run start -->
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  ## Example `llama.cpp` command
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+ Make sure you are using `llama.cpp` from commit [d0cee0d36d5be95a0d9088b674dbb27354107221](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221) or later.
 
 
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+ ```shell
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+ ./main -ngl 32 -m huginn-v3-13b.q4_K_M.gguf --color -c 4096 --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.\n\n### Instruction:\n{prompt}\n\n### Response:"
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  ```
 
 
 
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  Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.
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+ Change `-c 4096` to the desired sequence length. For extended sequence models - eg 8K, 16K, 32K - the necessary RoPE scaling parameters are read from the GGUF file and set by llama.cpp automatically.
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  If you want to have a chat-style conversation, replace the `-p <PROMPT>` argument with `-i -ins`
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  [TheBloke AI's Discord server](https://discord.gg/theblokeai)
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+ ## Thanks, and how to contribute
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  Thanks to the [chirper.ai](https://chirper.ai) team!
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+ Thanks to Clay from [gpus.llm-utils.org](llm-utils)!
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+
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  I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.
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  If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.