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README.md
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@@ -60,7 +60,24 @@ For an example of a roleplaying discord bot, check out this: https://github.com/
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The model is currently being uploaded in FP16 format, and there are plans to convert the model to GGML and GPTQ 4bit quantizations. The team is also working on a full benchmark, similar to what was done for GPT4-x-Vicuna. We will try to get in discussions to get the model included in the GPT4All.
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## Benchmark Results
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## Model Usage
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The model is available for download on Hugging Face. It is suitable for a wide range of language tasks, from generating creative text to understanding and following complex instructions.
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The model is currently being uploaded in FP16 format, and there are plans to convert the model to GGML and GPTQ 4bit quantizations. The team is also working on a full benchmark, similar to what was done for GPT4-x-Vicuna. We will try to get in discussions to get the model included in the GPT4All.
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## Benchmark Results
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```
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| Task |Version| Metric |Value | |Stderr|
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|-------------|------:|--------|-----:|---|-----:|
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|arc_challenge| 0|acc |0.4915|± |0.0146|
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| | |acc_norm|0.5085|± |0.0146|
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|arc_easy | 0|acc |0.7769|± |0.0085|
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| | |acc_norm|0.7424|± |0.0090|
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|boolq | 1|acc |0.7948|± |0.0071|
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|hellaswag | 0|acc |0.6143|± |0.0049|
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| | |acc_norm|0.8000|± |0.0040|
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|openbookqa | 0|acc |0.3560|± |0.0214|
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| | |acc_norm|0.4640|± |0.0223|
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|piqa | 0|acc |0.7965|± |0.0094|
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| | |acc_norm|0.7889|± |0.0095|
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|winogrande | 0|acc |0.7190|± |0.0126|
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```
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These benchmarks currently have us at #1 on ARC-c, ARC-e, Hellaswag, and OpenBookQA, and 2nd place on Winogrande, comparing to GPT4all's benchmarking list.
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## Model Usage
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The model is available for download on Hugging Face. It is suitable for a wide range of language tasks, from generating creative text to understanding and following complex instructions.
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