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--- |
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base_model: Delta-Vector/Rei-V2-12B |
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datasets: |
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- PocketDoc/Dans-Personamaxx-Logs |
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- anthracite-org/kalo-opus-instruct-22k-no-refusal |
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- lodrick-the-lafted/kalo-opus-instruct-3k-filtered |
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- anthracite-org/nopm_claude_writing_fixed |
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- anthracite-org/kalo_opus_misc_240827 |
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- anthracite-org/kalo_misc_part2 |
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- NewEden/Claude-Instruct-5K |
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- NewEden/Claude-Instruct-2.7K |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-generation |
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tags: |
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- roleplay |
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- finetune |
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- mistral |
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- magnum |
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- claude |
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- story-writing |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# Triangle104/Rei-V2-12B-Q4_K_S-GGUF |
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This model was converted to GGUF format from [`Delta-Vector/Rei-V2-12B`](https://huggingface.co/Delta-Vector/Rei-V2-12B) 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/Delta-Vector/Rei-V2-12B) for more details on the model. |
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--- |
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Originally conceived as an experiment to test the effects of gradient clipping, this model was exceptionally well-received by early testers, prompting its official release. |
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Fine-tuned on top of Mistral-Nemo-Instruct (ChatML'ified), Rei-12B is designed to replicate the exquisite prose quality of Claude 3 models, particularly Sonnet and Opus, using a prototype Magnum V5 datamix. |
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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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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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llama-cli --hf-repo Triangle104/Rei-V2-12B-Q4_K_S-GGUF --hf-file rei-v2-12b-q4_k_s.gguf -p "The meaning to life and the universe is" |
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``` |
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### Server: |
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```bash |
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llama-server --hf-repo Triangle104/Rei-V2-12B-Q4_K_S-GGUF --hf-file rei-v2-12b-q4_k_s.gguf -c 2048 |
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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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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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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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Step 3: Run inference through the main binary. |
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``` |
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./llama-cli --hf-repo Triangle104/Rei-V2-12B-Q4_K_S-GGUF --hf-file rei-v2-12b-q4_k_s.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 Triangle104/Rei-V2-12B-Q4_K_S-GGUF --hf-file rei-v2-12b-q4_k_s.gguf -c 2048 |
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``` |
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