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Qwen/Qwen2.5-0.5B-Instruct.| Upstream repository | Qwen/Qwen2.5-0.5B-Instruct |
| Upstream revision | 7ae557604adf67be50417f59c2c2f167def9a775 |
| Upstream license | apache-2.0 |
| Quantization | bitsandbytes NF4, double quantization, bf16 compute |
| Original size | 0.93 GiB |
| Quantized size | 0.44 GiB |
quantization_config block was added to config.json. Tokenizer, processor,
and any remote-code files are copied unmodified from the upstream revision above.
No architecture, vocabulary, or generation defaults were altered.bitsandbytes and a supported accelerator. NF4 kernels are
available for NVIDIA sm_75+ (Turing and newer) and for AMD ROCm on RDNA3 /
RDNA3.5 / CDNA.1from transformers import AutoModelForCausalLM
2
3model = AutoModelForCausalLM.from_pretrained(
4 "bschooled/caeleste-speech",
5 subfolder="qwen2.5-0.5b-instruct-nf4",
6 device_map={"": "cuda:0"},
7)apache-2.0.
All upstream copyright, patent, trademark and attribution notices are retained.
Refer to the upstream repository for the authoritative license text.