AlchemistCoder is a series of coding models by InternLM.
This model is tuned from the DeepSeek coder model, and should excel at all coding related tasks.
Prompt template:
Choose the Alpaca preset in your LM Studio.
Under the hood, the model will see a prompt that's formatted like so:
### Instruction:
{prompt}
### Response:
Technical Details
Training details:
AlchemistPrompts: Designed as data-specific prompts for harmonizing inherent conflicts in multi-source data and mitigating the instruction/response misalignment at a fined-grained level.
Code Comprehenstion Tasks: Sourced from the process of data construction, consisting of instruction evolution, data filtering, and code review.
Harmonized Multi-source Data: Instruction tuned on 200M tokens, including 6 types of high-quality data.
Superior Model Performance: Surpassing all the open-source models of the same size (6.7/7B), and rivaling or even beating larger models (15B/33B/70B/ChatGPT) on 6 code benchmarks.
Advanced generic capabilities: Demonstrated by the significant improvements on MMLU, BBH, and GSM8K.
🙏 Special thanks to Kalomaze and Dampf for their work on the dataset (linked here) that was used for calculating the imatrix for all sizes.
Disclaimers
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