AlchemistCoder-DS-6.7B-GGUF

💫 Community Model> AlchemistCoder DS 6.7B by InternLM

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Model creator: InternLM<br> Original model: AlchemistCoder-DS-6.7B<br> GGUF quantization: provided by bartowski based on llama.cpp release b3024<br>

Model Summary:

AlchemistCoder is a series of coding models by InternLM.<br> 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.

For more information, check out their paper here: https://arxiv.org/abs/2405.19265

Special thanks

🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp

🙏 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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