catmind/dx-brain-v1
The catmind/dx-brain-v1 is a 5.1 billion parameter language model, fine-tuned and converted to GGUF format using Unsloth. This model is available in both text-only and multimodal (vision-capable) variants, supporting a 32768 token context length. It is optimized for efficient deployment and local inference, particularly for applications requiring either pure text generation or combined text and image understanding.
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Model Overview
The catmind/dx-brain-v1 is a 5.1 billion parameter model, fine-tuned and converted into the GGUF format for efficient local inference. This model was developed using Unsloth, which facilitated a 2x faster training process.
Key Capabilities
- Text Generation: Supports standard text-based LLM interactions.
- Multimodal Understanding: Includes a vision-capable variant (
gemma-4-e2b-it.BF16-mmproj.gguf) for processing both text and image inputs. - Efficient Deployment: Provided in GGUF format, making it suitable for various local inference engines like
llama-cliandollama. - Extended Context: Features a substantial 32768 token context window.
Deployment Notes
For vision models, users should be aware that Ollama currently does not support separate mmproj files. To use the vision variant with Ollama, a unified bf16 model must be created by placing a Modelfile alongside the merged model and running ollama create.