Model Intelligence Sheet
niranjanh123/gemma-video-captions-GGUF overview
gemma video captions GGUF : GGUF This model was finetuned and converted to GGUF format using Unsloth https://github.com/unslothai/unsloth . Example usage : For…
Runs locally from ~941.1 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | niranjanh123/gemma-video-captions-GGUF |
|---|---|
| Author | niranjanh123 |
| Pipeline | — |
| License | — |
| Base model | — |
| Last modified | 2026-07-12T17:36:47.000Z |
Model README
---
tags:
- gguf
- llama.cpp
- unsloth
- vision-language-model
---
gemma-video-captions-GGUF : GGUF
This model was finetuned and converted to GGUF format using Unsloth.
Example usage:
- For text only LLMs:
llama-cli -hf niranjanh123/gemma-video-captions-GGUF --jinja - For multimodal models:
llama-mtmd-cli -hf niranjanh123/gemma-video-captions-GGUF --jinja
Available Model files:
gemma-4-e2b-it.Q4_K_M.ggufgemma-4-e2b-it.BF16-mmproj.gguf
⚠️ Ollama Note for Vision Models
Important: Ollama currently does not support separate mmproj files for vision models.
To create an Ollama model from this vision model:
- Place the
Modelfilein the same directory as the finetuned bf16 merged model - Run:
ollama create model_name -f ./Modelfile
(Replace model_name with your desired name)
This will create a unified bf16 model that Ollama can use.
This was trained 2x faster with Unsloth
Run niranjanh123/gemma-video-captions-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models