phantomflame/bostralostra
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Nov 21, 2025Architecture:Transformer Warm
phantomflame/bostralostra is a GGUF-converted instruction-tuned model, likely based on the Qwen3-4B architecture, optimized for deployment. This model was fine-tuned and converted using Unsloth, which facilitates faster training and GGUF format conversion. It is designed for general language model tasks and is provided with an Ollama Modelfile for easy integration.
Loading preview...
Overview
phantomflame/bostralostra is an instruction-tuned language model, provided in the GGUF format for efficient deployment. The model was fine-tuned and converted using Unsloth, a library known for accelerating training processes. An Ollama Modelfile is included, simplifying its use within the Ollama ecosystem.
Key Capabilities
- GGUF Format: Optimized for local inference and compatibility with various LLM runtimes.
- Instruction-Tuned: Designed to follow instructions effectively for a wide range of tasks.
- Unsloth Integration: Benefits from faster training and conversion facilitated by the Unsloth library.
- Ollama Support: Includes a Modelfile for straightforward deployment and usage with Ollama.
Good For
- Developers looking for a readily deployable instruction-tuned model in GGUF format.
- Users seeking models optimized for local inference environments.
- Integration into applications using
llama-cliorllama-mtmd-cli.