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CaldarianX/typhoon2-qwen2.5-7b-instruct-GGUF
typhoon2-qwen2.5-7b-instruct-GGUF is a text generation model from CaldarianX. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
GGUF quantizations of scb10x/typhoon2-qwen2.5-7b-instruct, a Thai 🇹🇭 / English instruction-tuned LLM (7B, based on Qwen2.5-7B) by SCB 10X.
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From the Hugging Face model README
GGUF quantizations of scb10x/typhoon2-qwen2.5-7b-instruct, a Thai 🇹🇭 / English instruction-tuned LLM (7B, based on Qwen2.5-7B) by SCB 10X.
Quantized to GGUF with llama.cpp for fast local inference on CPU / modest hardware (Ollama, LM Studio, llama.cpp, Jan, koboldcpp).
Modification notice (Apache-2.0): these files are a GGUF quantization of the original model — no weights were retrained or fine-tuned. Original model © SCB 10X, released under Apache-2.0. This repository preserves that license.
| File | Quant | Size | Notes |
|---|---|---|---|
typhoon2-qwen2.5-7b-instruct-Q4_K_M.gguf | Q4_K_M | ~4.4 GB | recommended — best size/quality for CPU & 16 GB RAM |
typhoon2-qwen2.5-7b-instruct-Q5_K_M.gguf | Q5_K_M | ~5.1 GB | a bit higher quality |
typhoon2-qwen2.5-7b-instruct-Q8_0.gguf | Q8_0 | ~7.6 GB | near-lossless |
K-quants are used (best for CPU inference). For a 7B on ~16 GB RAM, Q4_K_M is the sweet spot.
ollama run hf.co/CaldarianX/typhoon2-qwen2.5-7b-instruct-GGUF:Q4_K_M
# chat
./llama-cli -m typhoon2-qwen2.5-7b-instruct-Q4_K_M.gguf -cnv -c 8192
# OpenAI-compatible server (use with Aider, Open WebUI, scripts, etc.)
./llama-server -m typhoon2-qwen2.5-7b-instruct-Q4_K_M.gguf -c 8192
Search this repo, download the Q4_K_M file, load, chat.
Qwen2.5 ChatML:
<|im_start|>system
You are a helpful assistant.<|im_end|>
<|im_start|>user
สวัสดีครับ<|im_end|>
<|im_start|>assistant