Avtrkrb/granite-claude-h-350m-GGUF overview
granite claude h 350m GGUF GGUF quantizations of: Avtrkrb/granite claude h 350m These files are intended for inference using: llama.cpp LM Studio Open WebUI Ja…
Runs locally from ~247.4 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| granite-claude-h-350m-F16.gguf | GGUF | F16 | 800.2 MB | Download |
| granite-claude-h-350m-Q4_0.gguf | GGUF | Q4_0 | 247.4 MB | Download |
| granite-claude-h-350m-Q4_K_M.gguf | GGUF | Q4_K_M | 253.7 MB | Download |
| granite-claude-h-350m-Q5_K_M.gguf | GGUF | Q5_K_M | 291.2 MB | Download |
| granite-claude-h-350m-Q6_K.gguf | GGUF | Q6_K | 331.0 MB | Download |
| granite-claude-h-350m-Q8_0.gguf | GGUF | Q8_0 | 427.3 MB | Download |
Model Details
| Model ID | Avtrkrb/granite-claude-h-350m-GGUF |
|---|---|
| Author | Avtrkrb |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | Avtrkrb/granite-claude-h-350m |
| Last modified | 2026-06-11T02:21:18.000Z |
Model README
---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- granite
- gguf
- llama-cpp
- reasoning
- quantized
- local-llm
base_model: Avtrkrb/granite-claude-h-350m
library_name: gguf
---
granite-claude-h-350m-GGUF
GGUF quantizations of:
Avtrkrb/granite-claude-h-350m
These files are intended for inference using:
- llama.cpp
- LM Studio
- Open WebUI
- Jan
- KoboldCpp
- GPT4All
- Ollama (after conversion/import)
---
Available Quantizations
Typical variants included:
| Quant | Use Case |
|---------|---------|
| Q4_K_M | Best size / quality balance |
| Q5_K_M | Higher quality |
| Q6_K | Near-lossless for most use cases |
| Q8_0 | Highest quality quantized version |
---
Source Model
Merged model:
https://huggingface.co/Avtrkrb/granite-claude-h-350m
Dataset:
https://huggingface.co/datasets/Avtrkrb/combined-reasoning-claude
---
Example llama.cpp Usage
./llama-cli \
-m granite-claude-h-350m-Q4_K_M.gguf \
-p "Explain quantum tunneling."
---
Recommended Quant
For most users:
Q4_K_M
offers the best balance between:
- quality
- speed
- memory usage
---
License
This repository follows the licensing terms of the original Granite model.
Run Avtrkrb/granite-claude-h-350m-GGUF with guIDE
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Source: Hugging Face · Compare models