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XwinCoder-34B-6.0bpw-h6-exl2
LoneStriker/XwinCoder-34B-6.0bpw-h6-exl2
XwinCoder-34B-6.0bpw-h6-exl2 is a text generation model from LoneStriker. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
We are glad to introduce our instruction finetuned code generation models based on CodeLLaMA: XwinCoder. We release model weights and evaluation code.
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama2
- Model type
- llama
- Access
- Public
- Created
- Nov 15, 2023
- Updated
- Nov 15, 2023
- SHA
- 80208dbc
Try a prompt
Model card
From the Hugging Face model README
XwinCoder
We are glad to introduce our instruction finetuned code generation models based on CodeLLaMA: XwinCoder. We release model weights and evaluation code.
Repository: https://github.com/Xwin-LM/Xwin-LM/tree/main/Xwin-Coder
Models:
| Model | 🤗hf link | HumanEval pass@1 | MBPP pass@1 | APPS-intro pass@5 |
|---|---|---|---|---|
| XwinCoder-7B | link | 63.8 | 57.4 | 31.5 |
| XwinCoder-13B | link | 68.8 | 60.1 | 35.4 |
| XwinCoder-34B | link | 74.2 | 64.8 | 43.0 |
Updates
-
💥 We released XwinCoder-7B, XwinCoder-13B, XwinCoder-34B. Our XwinCoder-34B reached 74.2 on HumanEval and it achieves comparable performance as GPT-3.5-turbo on 6 benchmarks.
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We support evaluating instruction finetuned models on HumanEval, MBPP, APPS, DS1000 and MT-Bench. See our github repository.
Overview
- To fully demonstrate our model's coding capabilities in real-world usage scenarios, we have conducted thorough evaluations on several existing mainstream coding capability leaderboards (rather than only on the currently most popular HumanEval).
- As shown in the radar chart results, our 34B model achieves comparable performance as GPT-3.5-turbo on coding abilities.
- It is worth mentioning that, to ensure accurate visualization, our radar chart has not been scaled (only translated; MT-Bench score is scaled by 10x to be more comparable with other benchmarks).
- Multiple-E-avg6 refer to the 6 languages used in CodeLLaMA paper. Results of GPT-4 and GPT-3.5-turbo are conducted by us, more details will be released later.
Demo
We provide a chat demo in our github repository, here are some examples:
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama2
- Created
- Nov 15, 2023
- Updated
- Nov 15, 2023