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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2 |
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datasets: |
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- anthracite-org/kalo-opus-instruct-22k-no-refusal |
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- Nopm/Opus_WritingStruct |
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- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned |
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- Gryphe/Sonnet3.5-Charcard-Roleplay |
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- Gryphe/ChatGPT-4o-Writing-Prompts |
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- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned |
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- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned |
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- nothingiisreal/Reddit-Dirty-And-WritingPrompts |
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- allura-org/Celeste-1.x-data-mixture |
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- cognitivecomputations/dolphin-2.9.3 |
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tags: |
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- generated_from_trainer |
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- llama-cpp |
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- gguf-my-repo |
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model-index: |
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- name: EVA-Qwen2.5-14B-SFFT-v0.2 |
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results: [] |
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--- |
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# Triangle104/EVA-Qwen2.5-14B-v0.2-Q4_K_M-GGUF |
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This model was converted to GGUF format from [`EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2`](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2) 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/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2) 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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```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/EVA-Qwen2.5-14B-v0.2-Q4_K_M-GGUF --hf-file eva-qwen2.5-14b-v0.2-q4_k_m.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/EVA-Qwen2.5-14B-v0.2-Q4_K_M-GGUF --hf-file eva-qwen2.5-14b-v0.2-q4_k_m.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/EVA-Qwen2.5-14B-v0.2-Q4_K_M-GGUF --hf-file eva-qwen2.5-14b-v0.2-q4_k_m.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/EVA-Qwen2.5-14B-v0.2-Q4_K_M-GGUF --hf-file eva-qwen2.5-14b-v0.2-q4_k_m.gguf -c 2048 |
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``` |
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