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+ ---
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+ datasets:
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+ - alexandreteles/AlpacaToxicQA_ShareGPT
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+ - Nitral-AI/Active_RP-ShareGPT
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+ - PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT
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+ - Nitral-AI/RP_Alignment-ShareGPT
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+ - Chaser-cz/sonnet35-charcard-roleplay-sharegpt
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+ - AiCloser/sharegpt_cot_dataset
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+ - PJMixers/Gryphe_Opus-WritingPrompts-Story2Prompt-ShareGPT
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+ - priveeai/pippa_sharegpt
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+ - Locutusque/sharegpt_gpt4_uncensored_cleaned
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+ - OpenCoder-LLM/opc-sft-stage1
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+ - OpenCoder-LLM/opc-sft-stage2
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+ - microsoft/orca-agentinstruct-1M-v1
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+ - microsoft/orca-math-word-problems-200k
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+ - NousResearch/hermes-function-calling-v1
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+ - AI-MO/NuminaMath-CoT
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+ - AI-MO/NuminaMath-TIR
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+ - allenai/tulu-3-sft-mixture
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+ - cognitivecomputations/dolphin-coder
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+ - HuggingFaceTB/smoltalk
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+ - cognitivecomputations/samantha-data
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+ - m-a-p/CodeFeedback-Filtered-Instruction
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+ - m-a-p/Code-Feedback
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+ base_model: Novaciano/La_Mejor_Mezcla-3.2-1B
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+ - llama-cpp
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+ - gguf-my-repo
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+ language:
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+ - es
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+ - en
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+ license: apache-2.0
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+ pipeline_tag: text-generation
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+ ---
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+
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+ # Novaciano/La_Mejor_Mezcla-3.2-1B-Q6_K-GGUF
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+ This model was converted to GGUF format from [`Novaciano/La_Mejor_Mezcla-3.2-1B`](https://huggingface.co/Novaciano/La_Mejor_Mezcla-3.2-1B) 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/Novaciano/La_Mejor_Mezcla-3.2-1B) for more details on 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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+
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+ ```bash
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+ brew install llama.cpp
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+
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+ ```
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+ Invoke the llama.cpp server or the CLI.
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+
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+ ### CLI:
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+ ```bash
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+ llama-cli --hf-repo Novaciano/La_Mejor_Mezcla-3.2-1B-Q6_K-GGUF --hf-file la_mejor_mezcla-3.2-1b-q6_k.gguf -p "The meaning to life and the universe is"
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+ ```
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+
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+ ### Server:
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+ ```bash
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+ llama-server --hf-repo Novaciano/La_Mejor_Mezcla-3.2-1B-Q6_K-GGUF --hf-file la_mejor_mezcla-3.2-1b-q6_k.gguf -c 2048
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+ ```
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+
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+ Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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+
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+ Step 1: Clone llama.cpp from GitHub.
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+ ```
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+ git clone https://github.com/ggerganov/llama.cpp
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+ ```
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+
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+ Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
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+ ```
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+ cd llama.cpp && LLAMA_CURL=1 make
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+ ```
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+
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+ Step 3: Run inference through the main binary.
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+ ```
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+ ./llama-cli --hf-repo Novaciano/La_Mejor_Mezcla-3.2-1B-Q6_K-GGUF --hf-file la_mejor_mezcla-3.2-1b-q6_k.gguf -p "The meaning to life and the universe is"
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+ ```
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+ or
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+ ```
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+ ./llama-server --hf-repo Novaciano/La_Mejor_Mezcla-3.2-1B-Q6_K-GGUF --hf-file la_mejor_mezcla-3.2-1b-q6_k.gguf -c 2048
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+ ```