--- library_name: transformers license: apache-2.0 base_model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2 datasets: - anthracite-org/kalo-opus-instruct-22k-no-refusal - Nopm/Opus_WritingStruct - Gryphe/Sonnet3.5-SlimOrcaDedupCleaned - Gryphe/Sonnet3.5-Charcard-Roleplay - Gryphe/ChatGPT-4o-Writing-Prompts - Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned - Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned - nothingiisreal/Reddit-Dirty-And-WritingPrompts - allura-org/Celeste-1.x-data-mixture - cognitivecomputations/dolphin-2.9.3 tags: - generated_from_trainer - llama-cpp - gguf-my-repo model-index: - name: EVA-Qwen2.5-14B-SFFT-v0.2 results: [] --- # Triangle104/EVA-Qwen2.5-14B-v0.2-Q4_K_M-GGUF 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. Refer to the [original model card](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2) for more details on the model. ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash 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" ``` ### Server: ```bash 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 ``` 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. Step 1: Clone llama.cpp from GitHub. ``` git clone https://github.com/ggerganov/llama.cpp ``` 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). ``` cd llama.cpp && LLAMA_CURL=1 make ``` Step 3: Run inference through the main binary. ``` ./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" ``` or ``` ./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 ```