--- pipeline_tag: text-generation inference: true widget: - text: 'def print_hello_world():' example_title: Hello world group: Python license: bigscience-openrail-m pretrain-datasets: - books - arxiv - c4 - falcon-refinedweb - wiki - github-issues - stack_markdown - self-made dataset of permissive github code datasets: - bigcode/the-stack-dedup - rombodawg/2XUNCENSORED_MegaCodeTraining188k - bigcode/commitpackft metrics: - code_eval library_name: transformers tags: - code - llama-cpp - gguf-my-repo language: - en base_model: refactai/Refact-1_6B-fim model-index: - name: Refact-1.6B results: - task: type: text-generation dataset: name: HumanEval type: openai_humaneval metrics: - type: pass@1 value: 32.0 name: pass@1 (T=0.01) verified: false - type: pass@1 value: 31.5 name: pass@1 (T=0.2) verified: false - type: pass@10 value: 53.0 name: pass@10 (T=0.8) verified: false - type: pass@100 value: 76.9 name: pass@100 (T=0.8) verified: false - task: type: text-generation dataset: name: HumanEvalSynthesize Python type: bigcode/humanevalpack metrics: - type: pass@1 value: 35.8 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 31.6 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 29.1 name: pass@1 (T=0.2) verified: false - type: pass@1 value: -1 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 26.3 name: pass@1 (T=0.2) verified: false - type: pass@1 value: -1 name: pass@1 (T=0.2) verified: false - type: pass@1 value: -1 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 18.38 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 12.28 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 15.12 name: pass@1 (T=0.2) verified: false - type: pass@1 value: -1 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 13.17 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 2.8 name: pass@1 (T=0.2) verified: false - type: pass@1 value: -1 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 26.92 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 26.85 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 30.76 name: pass@1 (T=0.2) verified: false - type: pass@1 value: -1 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 25.94 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 8.44 name: pass@1 (T=0.2) verified: false - type: pass@1 value: -1 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 26.46 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 17.86 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 20.94 name: pass@1 (T=0.2) verified: false - type: pass@1 value: -1 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 18.78 name: pass@1 (T=0.2) verified: false - type: pass@1 value: -1 name: pass@1 (T=0.2) verified: false - type: pass@1 value: -1 name: pass@1 (T=0.2) verified: false - task: type: text-generation dataset: name: MBPP type: mbpp metrics: - type: pass@1 value: 31.15 name: pass@1 (T=0.01) verified: false - task: type: text-generation dataset: name: DS-1000 (Overall Completion) type: ds1000 metrics: - type: pass@1 value: 10.1 name: pass@1 (T=0.2) verified: false - task: type: text-generation dataset: name: MultiPL-HumanEval (C++) type: nuprl/MultiPL-E metrics: - type: pass@1 value: 21.61 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 13.91 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 9.5 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 53.57 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 21.58 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 13.75 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 26.88 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 15.26 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 23.04 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 12.1 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 29.6 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 13.77 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 12.68 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 4.29 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 19.54 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 18.33 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 5.7 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 17.68 name: pass@1 (T=0.2) verified: false - type: pass@1 value: 25 name: pass@1 (T=0.2) verified: false --- # Netsnake/Refact-1_6B-fim-Q5_K_M-GGUF This model was converted to GGUF format from [`refactai/Refact-1_6B-fim`](https://huggingface.co/refactai/Refact-1_6B-fim) 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/refactai/Refact-1_6B-fim) 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 Netsnake/Refact-1_6B-fim-Q5_K_M-GGUF --hf-file refact-1_6b-fim-q5_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo Netsnake/Refact-1_6B-fim-Q5_K_M-GGUF --hf-file refact-1_6b-fim-q5_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 Netsnake/Refact-1_6B-fim-Q5_K_M-GGUF --hf-file refact-1_6b-fim-q5_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo Netsnake/Refact-1_6B-fim-Q5_K_M-GGUF --hf-file refact-1_6b-fim-q5_k_m.gguf -c 2048 ```