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--- |
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license: llama2 |
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pipeline_tag: text-generation |
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library_name: gguf |
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--- |
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<u>**NOTE**</u>: You will need a recent build of llama.cpp to run these quants (i.e. at least commit `494c870`). |
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GGUF importance matrix (imatrix) quants for https://huggingface.co/m-a-p/OpenCodeInterpreter-CL-70B |
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* The importance matrix was trained for ~50K tokens (105 batches of 512 tokens) using a [general purpose imatrix calibration dataset](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384). |
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* The [imatrix is being used on the K-quants](https://github.com/ggerganov/llama.cpp/pull/4930) as well. |
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> OpenCodeInterpreter is a family of open-source code generation systems designed to bridge the gap between large language models and advanced proprietary systems like the GPT-4 Code Interpreter. It significantly advances code generation capabilities by integrating execution and iterative refinement functionalities. This model is based on [CodeLlama-70b-Python-hf](https://huggingface.co/codellama/CodeLlama-70b-Python-hf). |
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| Layers | Context | Template | |
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| --- | --- | --- | |
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| <pre>80</pre> | <pre>16384</pre> | <pre>\<s\>[INST] {prompt} [/INST]</pre> | |
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