Instructions to use tencent/Hunyuan-MT-7B-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/Hunyuan-MT-7B-fp8 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="tencent/Hunyuan-MT-7B-fp8")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("tencent/Hunyuan-MT-7B-fp8") model = AutoModelForCausalLM.from_pretrained("tencent/Hunyuan-MT-7B-fp8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload hf_quant_config.json with huggingface_hub
Browse files- hf_quant_config.json +10 -0
hf_quant_config.json
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{
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"quantization": {
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"exclude_modules": [
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"lm_head",
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"model.embed_tokens"
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],
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"kv_cache_quant_algo": null,
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"quant_algo": "FP8"
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}
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}
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