|
--- |
|
license: apache-2.0 |
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library_name: transformers |
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tags: |
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- code |
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- granite |
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- llama-cpp |
|
- gguf-my-repo |
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base_model: ibm-granite/granite-8b-code-base |
|
datasets: |
|
- bigcode/commitpackft |
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- TIGER-Lab/MathInstruct |
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- meta-math/MetaMathQA |
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- glaiveai/glaive-code-assistant-v3 |
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- glaive-function-calling-v2 |
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- bugdaryan/sql-create-context-instruction |
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- garage-bAInd/Open-Platypus |
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- nvidia/HelpSteer |
|
metrics: |
|
- code_eval |
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pipeline_tag: text-generation |
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inference: false |
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model-index: |
|
- name: granite-8b-code-instruct |
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results: |
|
- task: |
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type: text-generation |
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dataset: |
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name: HumanEvalSynthesis(Python) |
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type: bigcode/humanevalpack |
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metrics: |
|
- type: pass@1 |
|
value: 57.9 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 52.4 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 58.5 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 43.3 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 48.2 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 37.2 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 53.0 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 42.7 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 52.4 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 36.6 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 43.9 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 16.5 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 39.6 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 40.9 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 48.2 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 41.5 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 39.0 |
|
name: pass@1 |
|
- type: pass@1 |
|
value: 32.9 |
|
name: pass@1 |
|
--- |
|
|
|
# MoMonir/granite-8b-code-instruct-GGUF |
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This model was converted to GGUF format from [`ibm-granite/granite-8b-code-instruct`](https://huggingface.co/ibm-granite/granite-8b-code-instruct) 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/ibm-granite/granite-8b-code-instruct) for more details on the model. |
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|
|
|
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<!-- README_GGUF.md-about-gguf start --> |
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### About GGUF ([TheBloke](https://huggingface.co/TheBloke) Description) |
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|
|
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](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option. |
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* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration. |
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* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling. |
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* [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel. |
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* [LM Studio](https://lmstudio.ai/), 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. |
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* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection. |
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* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration. |
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* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server. |
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* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use. |
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* [ctransformers](https://github.com/marella/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. |
|
|
|
<!-- README_GGUF.md-about-gguf end --> |
|
|
|
## Use with llama.cpp |
|
|
|
Install llama.cpp through brew. |
|
|
|
```bash |
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brew install ggerganov/ggerganov/llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
|
|
|
CLI: |
|
|
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```bash |
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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" |
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``` |
|
|
|
Server: |
|
|
|
```bash |
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llama-server --hf-repo MoMonir/granite-8b-code-instruct-GGUF --model granite-8b-code-instruct.Q4_K_M.gguf -c 2048 |
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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. |
|
|
|
``` |
|
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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``` |
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|
