Tabish244/YouLearn-Granite4-H1B-V11-GGUF overview
base model: ibm granite/granite 4.0 h 1b instruct language: en hi license: apache 2.0 tags: education youlearn granite mamba gguf q4 k m finetuned android on d…
Runs locally from ~859.4 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| YouLearn-Granite4-H1B-V11-FT564-Q4_K_M.gguf | GGUF | Q4_K_M | 859.4 MB | Download |
Model Details
| Model ID | Tabish244/YouLearn-Granite4-H1B-V11-GGUF |
|---|---|
| Author | Tabish244 |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | ibm-granite/granite-4.0-h-1b-instruct |
| Last modified | 2026-09-08T19:22:30.000Z |
Model README
---
base_model: ibm-granite/granite-4.0-h-1b-instruct
language:
- en
- hi
license: apache-2.0
tags:
- education
- youlearn
- granite
- mamba
- gguf
- q4_k_m
- finetuned
- android
- on-device
pipeline_tag: text-generation
---
YouLearn Granite 4.0 H 1B V11 - GGUF
Fine-tuned IBM Granite 4.0 H 1B (Hybrid Mamba-2/Transformer architecture) for the YouLearn offline study assistant Android app. Quantized to Q4_K_M for mobile deployment.
Model Details
- Base Model: ibm-granite/granite-4.0-h-1b-instruct
- Architecture: Hybrid Mamba-2 / Transformer (Extremely low KV-Cache pressure for long documents)
- Fine-Tuning: YouLearn V11 instructional dataset, 564 training steps
- Quantization: Q4_K_M (4-bit medium)
- Primary Use Case: Standard/Premium tier Android devices — long document QA, structured outputs, and learning tasks.
Purpose
This model is intended to provide superior long-context handling compared to pure transformer models (like MiniCPM5) on mobile devices. The Mamba architecture prevents memory explosion when users upload large PDFs or notes.
Capabilities
- Advanced study Q&A and tutoring
- Document-grounded answers (RAG) with low RAM usage
- Structured output (key points, flashcards, mind maps)
- Strong instruction following (JSON/Mermaid formats)
Usage (llama.cpp)
Note: Ensure your llama.cpp version supports the Mamba-2 hybrid architecture.
./llama-cli -m YouLearn-Granite4-H1B-V11-FT564-Q4_K_M.gguf \
-p "<|start_of_role|>system<|end_of_role|>YouLearn is a private offline study tutor.<|end_of_text|><|start_of_role|>user<|end_of_role|>Explain photosynthesis.<|end_of_text|><|start_of_role|>assistant<|end_of_role|>" \
-n 512 \
--top-p 0.85 --temp 0.35 --min-p 0.05Run Tabish244/YouLearn-Granite4-H1B-V11-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models