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Kiel-Pro-0.5B-v3-GGUF
AksaraLLM/Kiel-Pro-0.5B-v3-GGUF
Kiel-Pro-0.5B-v3-GGUF is a text generation model from AksaraLLM. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as apache-2.0.
GGUF quantizations of AksaraLLM/Kiel-Pro-0.5B-v3 for inference with llama.cpp, Ollama, LM Studio, and other GGUF runtimes.
All-time downloads
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Repo size
1.9 GB
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Repo makeup
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.gguf2.8 GB · 100%
At a glance
- Task
- Text Generation
- Library
- gguf
- License
- apache-2.0
- Access
- Public
- Created
- May 2, 2026
- Updated
- May 2, 2026
- SHA
- 9792a5d4
Base models
Model card
From the Hugging Face model README
Kiel-Pro-0.5B-v3-GGUF
GGUF quantizations of AksaraLLM/Kiel-Pro-0.5B-v3 for inference with llama.cpp, Ollama, LM Studio, and other GGUF runtimes.
Files
| File | Quant | Size | Recommended use |
|---|---|---|---|
Kiel-Pro-0.5B-v3.f16.gguf | F16 | 0.99 GB | lossless from safetensors |
Kiel-Pro-0.5B-v3.q8_0.gguf | Q8_0 | 0.53 GB | near-lossless, ~2× smaller |
Kiel-Pro-0.5B-v3.q6_k.gguf | Q6_K | 0.51 GB | high quality, ~2.5× smaller |
Kiel-Pro-0.5B-v3.q5_k_m.gguf | Q5_K_M | 0.42 GB | good quality, ~3× smaller |
Kiel-Pro-0.5B-v3.q4_k_m.gguf | Q4_K_M | 0.40 GB | recommended default, ~4× smaller |
CPU benchmark (AMD EPYC 7763, 2 threads, AVX2)
| Quant | Prompt eval (32 tok) | Generation (16 tok) |
|---|---|---|
q4_k_m | 36.7 tok/s | 20.1 tok/s |
So a 494M model at q4_k_m runs comfortably on a CPU laptop. Larger quants (q5_k_m, q6_k, q8_0) trade a bit of speed for better quality.
Quick start — llama.cpp
huggingface-cli download AksaraLLM/Kiel-Pro-0.5B-v3-GGUF Kiel-Pro-0.5B-v3.q4_k_m.gguf --local-dir .
./llama-cli -m Kiel-Pro-0.5B-v3.q4_k_m.gguf -p "Indonesia adalah" -n 64
Quick start — Ollama
huggingface-cli download AksaraLLM/Kiel-Pro-0.5B-v3-GGUF Kiel-Pro-0.5B-v3.q4_k_m.gguf Modelfile --local-dir .
ollama create aksara-kiel-pro-0.5b-v3 -f Modelfile
ollama run aksara-kiel-pro-0.5b-v3 "Apa ibukota Indonesia?"
Source model
See AksaraLLM/Kiel-Pro-0.5B-v3 for architecture, training data, eval results, and limitations.
Conversion provenance
- Converted with
convert_hf_to_gguf.pyfrom llama.cpp - Quantized with
llama-quantizefrom the same build - Architecture detected as
qwen2 - All files listed above are reproducible from the source HF safetensors
- Task
- Text Generation
- Library
- gguf
- License
- apache-2.0
- Languages
- id
- Created
- May 2, 2026
- Updated
- May 2, 2026