Transformers
Safetensors
English
mla
deepseek-moe
mtp
custom-code
tinystories
from-scratch
Eval Results (legacy)
Instructions to use nowordsxiaomu/DeepSeek-Flash-Mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nowordsxiaomu/DeepSeek-Flash-Mini with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nowordsxiaomu/DeepSeek-Flash-Mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 690 Bytes
5e6d9f5 | 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 | {
"vocab_size": 8192,
"dim": 256,
"n_layers": 6,
"max_seq_len": 512,
"norm_eps": 1e-05,
"dropout": 0.0,
"tie_embeddings": true,
"n_heads": 8,
"q_lora_rank": 0,
"kv_lora_rank": 64,
"qk_nope_head_dim": 32,
"qk_rope_head_dim": 16,
"v_head_dim": 32,
"attn_impl": "naive",
"rope_theta": 10000.0,
"rope_scaling": 1.0,
"n_dense_layers": 1,
"dense_inter_dim": 704,
"moe_inter_dim": 256,
"n_routed_experts": 8,
"n_shared_experts": 1,
"n_activated_experts": 2,
"n_expert_groups": 1,
"n_limited_groups": 1,
"score_func": "sigmoid",
"route_scale": 1.0,
"bias_update_speed": 0.001,
"aux_loss_alpha": 0.001,
"n_mtp": 1,
"mtp_loss_weight": 0.3
} |