3fou34jfioqjf3q0pf/rp-model_E2B_v5.1
The rp-model_E2B_v5.1 is a 5.1 billion parameter language model developed by 3fou34jfioqjf3q0pf, fine-tuned and converted to GGUF format using Unsloth. This model supports a 32768 token context length and includes both text-only and multimodal (vision-capable) variants. It is primarily designed for efficient deployment and use with tools like llama-cli and Ollama, offering optimized performance for various generative AI tasks.
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Overview
The rp-model_E2B_v5.1 is a 5.1 billion parameter language model developed by 3fou34jfioqjf3q0pf, fine-tuned and converted to GGUF format using Unsloth. This model is available in both text-only and multimodal (vision-capable) variants, supporting a substantial 32768 token context length. Its development leveraged Unsloth for faster training, making it an efficient option for various applications.
Key Capabilities
- Efficient GGUF Format: Optimized for deployment and use with
llama-cliandllama-mtmd-cli. - Multimodal Support: Includes a vision-capable variant (
gemma-4-E2B-it.F16-mmproj.gguf) for tasks requiring image understanding. - Ollama Compatibility: Specific instructions are provided for creating a unified bf16 model for use with Ollama, addressing its current limitation with separate
mmprojfiles. - Fast Training: Benefited from Unsloth's accelerated training methods.
Good For
- Developers seeking efficient, GGUF-formatted models for local deployment.
- Applications requiring both text-based and multimodal (vision) capabilities.
- Users looking for models with clear guidance on integration with tools like Ollama.
- Projects prioritizing models developed with performance-enhancing tools like Unsloth.