Instructions to use AXERA-TECH/HY-MT1.5-1.8B_GPTQ_INT4-AX620E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/HY-MT1.5-1.8B_GPTQ_INT4-AX620E 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="AXERA-TECH/HY-MT1.5-1.8B_GPTQ_INT4-AX620E")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/HY-MT1.5-1.8B_GPTQ_INT4-AX620E", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 718 Bytes
80ad90c 3f3c4b6 80ad90c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"model_name": "AXERA-TECH/HY-MT1.5-1.8B_GPTQ_INT4-AX620E",
"url_tokenizer_model": "hymt1-5-1.8b_tokenizer.txt",
"tokenizer_type": "HunYuan",
"post_config_path": "post_config.json",
"template_filename_axmodel": "hymt1-5_1k_ax620e_axmodel/hunyuan_v1_dense_p128_l%d_together.axmodel",
"filename_post_axmodel": "hymt1-5_1k_ax620e_axmodel/hunyuan_v1_dense_post.axmodel",
"filename_tokens_embed": "hymt1-5_1k_ax620e_axmodel/model.embed_tokens.weight.bfloat16.bin",
"axmodel_num": 32,
"tokens_embed_num": 120818,
"tokens_embed_size": 2048,
"bos": false,
"eos": false,
"use_mmap_load_embed": true,
"use_mmap_load_layer": false,
"server_timeout_ms": 300000,
"server_max_output_tokens": 1024
}
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