Instructions to use tencent/Hy-MT2-30B-A3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/Hy-MT2-30B-A3B 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/Hy-MT2-30B-A3B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("tencent/Hy-MT2-30B-A3B") model = AutoModelForCausalLM.from_pretrained("tencent/Hy-MT2-30B-A3B") - Notebooks
- Google Colab
- Kaggle
File size: 1,127 Bytes
e0f8628 950da62 e0f8628 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | {
"architectures": [
"HYV3ForCausalLM"
],
"attn_impl": "eager",
"bos_token_id": 120000,
"enable_attention_fp32_softmax": false,
"enable_lm_head_fp32": true,
"enable_moe_fp32_combine": false,
"eod_token_id": 120026,
"eos_token_id": 120025,
"expert_hidden_dim": 768,
"moe_intermediate_size": 768,
"first_k_dense_replace": 1,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.006,
"intermediate_size": 6912,
"max_position_embeddings": 262144,
"model_type": "hy_v3",
"moe_router_enable_expert_bias": true,
"moe_router_use_sigmoid": true,
"num_attention_heads": 32,
"num_experts": 128,
"num_experts_per_tok": 8,
"num_hidden_layers": 48,
"num_key_value_heads": 4,
"num_shared_experts": 1,
"output_router_logits": true,
"pad_token_id": 120002,
"qk_norm": true,
"rms_norm_eps": 1e-05,
"rope_theta": 11158840.0,
"route_norm": true,
"router_scaling_factor": 2.826,
"sep_token_id": 120007,
"tie_word_embeddings": false,
"transformers_version": "4.57.1",
"use_cache": true,
"use_grouped_mm": false,
"vocab_size": 120832
}
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