Summary of Reddit Comments for "Best Local LLM Software" Query

Local LLM Software Options

• HuggingFace: Provides a wide variety of models, easy to use for different expertise levels.
• HuggingFace for JS: Check out llama.cpp, Ollama, and Guanqco-65 models.
• OpenAI: Offers GUI for ease of use.
• Google/Jax and Flax: Provides controllability and attention layers for your model.
• Colab Paid Version: Useful for training with large models and datasets.
• M2 Ultra: Good for inference, while M1 Ultra and dual 3090 systems depend on specific needs and performance levels.
• Gemini 1.5: Potential integration with ChatGPT API for quicker performance.
• Deepseek-Coder-Lite-V2: Useful for smaller model needs.
• GPT4All: Offers flexibility and UI options for different models.
• WizardLM Models: Suitable for various writing tasks.
• Guanaco-65B: Known for producing coherent long stories but requires skill to steer into desired content.
• Nerybus: Blend of SFW and NSFW models with good tagging support.
• GPT4-X-Alpaca and Alpasta-30: Also recommended for storytelling tasks.

Model Comparison for Storywriting

• Storytelling Models: Options like Rocinante-12B-v1, Gemmasutra-Pro-27B-v1, and Magnum-12b-v2.5-kto recommended for producing quality results in storytelling.
• Optimal Choices: Gemello-2-9B-It-SPPO-Iter3 stood out as a high-performing model for writing tasks.

Challenges and Tips for Storytelling with LLMs

• Prompting: Crafting detailed prompts can lead to better storytelling and style cohesion.
• Limitations of Local Models: Models like Guanaco-65B can handle extended writing tasks beyond token limits by smaller models.
• Coherence and Direction: It's crucial to know your story, characters, and messaging to guide LLMs effectively in storytelling tasks.

Overall, Local LLM software like Guanaco-65B and Gemello-2-9B-It-SPPO-Iter3 are favored for various writing tasks, with considerations for prompting, model limitations, and storytelling focus highlighted in user feedback.