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README.md
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- llama-cpp
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- gguf-my-repo
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base_model: DavidAU/Deep-Reasoning-Llama-3.2-JametMini-3B-MK.III
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---
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# Triangle104/Deep-Reasoning-Llama-3.2-JametMini-3B-MK.III-Q5_K_S-GGUF
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This model was converted to GGUF format from [`DavidAU/Deep-Reasoning-Llama-3.2-JametMini-3B-MK.III`](https://huggingface.co/DavidAU/Deep-Reasoning-Llama-3.2-JametMini-3B-MK.III) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/DavidAU/Deep-Reasoning-Llama-3.2-JametMini-3B-MK.III) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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@@ -55,4 +110,4 @@ Step 3: Run inference through the main binary.
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or
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```
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./llama-server --hf-repo Triangle104/Deep-Reasoning-Llama-3.2-JametMini-3B-MK.III-Q5_K_S-GGUF --hf-file deep-reasoning-llama-3.2-jametmini-3b-mk.iii-q5_k_s.gguf -c 2048
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```
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- llama-cpp
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- gguf-my-repo
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base_model: DavidAU/Deep-Reasoning-Llama-3.2-JametMini-3B-MK.III
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license: llama3.2
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---
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# Triangle104/Deep-Reasoning-Llama-3.2-JametMini-3B-MK.III-Q5_K_S-GGUF
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This model was converted to GGUF format from [`DavidAU/Deep-Reasoning-Llama-3.2-JametMini-3B-MK.III`](https://huggingface.co/DavidAU/Deep-Reasoning-Llama-3.2-JametMini-3B-MK.III) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/DavidAU/Deep-Reasoning-Llama-3.2-JametMini-3B-MK.III) for more details on the model.
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---
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This a "Class 1" (settings will enhance operation) model:
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For all settings used for this model (including specifics for its
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"class"), including example generation(s) and for advanced settings
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guide (which many times addresses any model issue(s)), including methods
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to improve model performance for all use case(s) as well as chat,
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roleplay and other use case(s) (especially for use case(s) beyond the
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model's design) please see:
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[ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]
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REASON:
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Regardless of "model class" this document will detail methods to enhance operations.
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If the model is a Class 3/4 model the default settings (parameters,
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samplers, advanced samplers) must be set for "use case(s)" uses
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correctly. Some AI/LLM apps DO NOT have consistant default setting(s)
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which result in sub-par model operation. Like wise for Class 3/4 models
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(which operate somewhat to very differently than standard models)
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additional samplers and advanced samplers settings are required to
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"smooth out" operation, AND/OR also allow full operation for use cases
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the model was not designed for.
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BONUS - Use these settings for ANY model, ANY repo, ANY quant (including source/full precision):
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This document also details parameters, sampler and advanced samplers
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that can be use FOR ANY MODEL, FROM ANY REPO too - all quants, and of
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course source code operation too - to enhance the operation of any
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model.
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[ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]
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NOTE:
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I strongly suggest you also visit the DavidAU GGUF (below) repo too
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for more details in using this model ; especially if it is "Class 3" or
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"Class 4" to get maximum performance from the model.
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---
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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or
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```
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./llama-server --hf-repo Triangle104/Deep-Reasoning-Llama-3.2-JametMini-3B-MK.III-Q5_K_S-GGUF --hf-file deep-reasoning-llama-3.2-jametmini-3b-mk.iii-q5_k_s.gguf -c 2048
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```
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