WizardLM Ziyang commited on
Commit
e5dc13a
β€’
1 Parent(s): e51b642

Update README.md (#19)

Browse files

- Update README.md (91a3e8a746c6e3a27b83247102edf665613f6580)


Co-authored-by: Ziyang Luo <Ziyang@users.noreply.huggingface.co>

Files changed (1) hide show
  1. README.md +10 -1
README.md CHANGED
@@ -16,7 +16,16 @@ This is the **Full-Weight** of WizardLM-13B V1.2 model, this model is trained fr
16
 
17
  ## News
18
 
19
- - πŸ”₯ πŸ”₯ πŸ”₯ [08/11/2023] We release **WizardMath** Models.
 
 
 
 
 
 
 
 
 
20
  - πŸ”₯ Our **WizardMath-70B-V1.0** model slightly outperforms some closed-source LLMs on the GSM8K, including **ChatGPT 3.5**, **Claude Instant 1** and **PaLM 2 540B**.
21
  - πŸ”₯ Our **WizardMath-70B-V1.0** model achieves **81.6 pass@1** on the [GSM8k Benchmarks](https://github.com/openai/grade-school-math), which is **24.8** points higher than the SOTA open-source LLM.
22
  - πŸ”₯ Our **WizardMath-70B-V1.0** model achieves **22.7 pass@1** on the [MATH Benchmarks](https://github.com/hendrycks/math), which is **9.2** points higher than the SOTA open-source LLM.
 
16
 
17
  ## News
18
 
19
+ - πŸ”₯πŸ”₯πŸ”₯[2023/08/26] We released **WizardCoder-Python-34B-V1.0** , which achieves the **73.2 pass@1** and surpasses **GPT4 (2023/03/15)**, **ChatGPT-3.5**, and **Claude2** on the [HumanEval Benchmarks](https://github.com/openai/human-eval). For more details, please refer to [WizardCoder](https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder).
20
+ - [2023/06/16] We released **WizardCoder-15B-V1.0** , which surpasses **Claude-Plus (+6.8)**, **Bard (+15.3)** and **InstructCodeT5+ (+22.3)** on the [HumanEval Benchmarks](https://github.com/openai/human-eval). For more details, please refer to [WizardCoder](https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder).
21
+
22
+ | Model | Checkpoint | Paper | HumanEval | MBPP | Demo | License |
23
+ | ----- |------| ---- |------|-------| ----- | ----- |
24
+ | WizardCoder-Python-34B-V1.0 | πŸ€— <a href="https://huggingface.co/WizardLM/WizardCoder-Python-34B-V1.0" target="_blank">HF Link</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2306.08568" target="_blank">[WizardCoder]</a> | 73.2 | 61.2 | [Demo](http://47.103.63.15:50085/) | <a href="https://ai.meta.com/resources/models-and-libraries/llama-downloads/" target="_blank">Llama2</a> |
25
+ | WizardCoder-15B-V1.0 | πŸ€— <a href="https://huggingface.co/WizardLM/WizardCoder-15B-V1.0" target="_blank">HF Link</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2306.08568" target="_blank">[WizardCoder]</a> | 59.8 |50.6 | -- | <a href="https://huggingface.co/spaces/bigcode/bigcode-model-license-agreement" target="_blank">OpenRAIL-M</a> |
26
+
27
+
28
+ - πŸ”₯ [08/11/2023] We release **WizardMath** Models.
29
  - πŸ”₯ Our **WizardMath-70B-V1.0** model slightly outperforms some closed-source LLMs on the GSM8K, including **ChatGPT 3.5**, **Claude Instant 1** and **PaLM 2 540B**.
30
  - πŸ”₯ Our **WizardMath-70B-V1.0** model achieves **81.6 pass@1** on the [GSM8k Benchmarks](https://github.com/openai/grade-school-math), which is **24.8** points higher than the SOTA open-source LLM.
31
  - πŸ”₯ Our **WizardMath-70B-V1.0** model achieves **22.7 pass@1** on the [MATH Benchmarks](https://github.com/hendrycks/math), which is **9.2** points higher than the SOTA open-source LLM.