MoMonir/granite-8b-code-instruct-GGUF
This model was converted to GGUF format from ibm-granite/granite-8b-code-instruct
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
About GGUF (TheBloke Description)
GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
Here is an incomplete list of clients and libraries that are known to support GGUF:
- llama.cpp. The source project for GGUF. Offers a CLI and a server option.
- text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
- KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
- GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
- LM Studio, an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
- LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection.
- Faraday.dev, an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
- llama-cpp-python, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
- candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use.
- ctransformers, a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.
Use with llama.cpp
Install llama.cpp through brew.
brew install ggerganov/ggerganov/llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo MoMonir/granite-8b-code-instruct-GGUF --model granite-8b-code-instruct.Q4_K_M.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo MoMonir/granite-8b-code-instruct-GGUF --model granite-8b-code-instruct.Q4_K_M.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m granite-8b-code-instruct.Q4_K_M.gguf -n 128
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Model tree for MoMonir/granite-8b-code-instruct-GGUF
Base model
ibm-granite/granite-8b-code-base-4kDatasets used to train MoMonir/granite-8b-code-instruct-GGUF
Evaluation results
- pass@1 on HumanEvalSynthesis(Python)self-reported57.900
- pass@1 on HumanEvalSynthesis(Python)self-reported52.400
- pass@1 on HumanEvalSynthesis(Python)self-reported58.500
- pass@1 on HumanEvalSynthesis(Python)self-reported43.300
- pass@1 on HumanEvalSynthesis(Python)self-reported48.200
- pass@1 on HumanEvalSynthesis(Python)self-reported37.200
- pass@1 on HumanEvalSynthesis(Python)self-reported53.000
- pass@1 on HumanEvalSynthesis(Python)self-reported42.700
- pass@1 on HumanEvalSynthesis(Python)self-reported52.400
- pass@1 on HumanEvalSynthesis(Python)self-reported36.600