Summary of Reddit Comments on the Best Open Source LLM for Python Coding with 8GB VRAM in 2024

Mentioned Products and Feedback

DeepSeek-Coder

• DeepSeek-Coder 16B: Provides good results and performance for coding tasks.
• DeepSeek-Coder 7B: Popular choice for Python coding tasks, especially on laptops with 16GB RAM.
• DeepSeek-Coder Lite V2: Another option for Python coding tasks.

Codestral

• Codestral: Known for working well for coding tasks.

Mistral-Nemo

• Mistral-Nemo: Suggested as a smaller LLM option that may be useful for Python coding.

Gemma

• Gemma 2 9B: Praised for faster model with larger context length.

Mixtral

• Mixtral: Some users found it less effective compared to other models.

Nous-Hermes

• Nous-Hermes-2-SOLAR-10.7B: Considered a well-balanced option for Python coding tasks.

Other Mentioned Products

• CodeGeeX 4.9B Model: Works well for Python coding, fitting 12GB VRAM with decent quants like Q6_K.
• Lama 3.1 8B: Utilized for Python coding tasks with 8GB VRAM.
• Miqu 70B: Praised for its high performance in coding tasks.
• Phi3: Known for efficiency in various NLP tasks.

Comparison with Other Models

• DBRX: Considered a strong open model with 132B parameters, suitable for coding tasks.
• Other models like Yi 34B, Lambda3-Gradient, InternLM 20B, and Qwen 14B were also mentioned in the comparisons.

Pros and Cons of Different Models

• Models like DeepSeek-Coder are recognized for their performance in coding tasks.
• Gemma models are praised for generating human-like text useful for code documentation.
• Some users experienced challenges with Mixtral models, while others found them effective.
• Phi3 is known for its balance between performance and VRAM consumption.
• Multiple recommendations suggest trying different models to find the best fit for individual needs.
• The choice of model may also depend on factors like context length and memory utilization.

Other Considerations

• Some users prefer running local models for privacy and cost considerations.
• Feedback was provided on UI/UX, ease of updates, and potential feature enhancements for better user experience.
• Suggestions were made to incorporate features like connecting to a database for enhanced data analysis capabilities.
• Community feedback on Discord, documentation, and import functionalities was highlighted for further improvements.

In conclusion, the best open source LLM for Python coding with 8GB VRAM in 2024 may vary based on individual preferences and requirements. Users are encouraged to explore different models like DeepSeek-Coder, Gemma, and Phi3, considering factors like performance, context length, and memory efficiency for optimal results in coding tasks.