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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed]

Text generation
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Randomly initialised `DeepseekV2ForCausalLM` for testing MLA (multi-head latent attention) and MoE code paths without loading a 29 GiB checkpoint. Used by vLLM's `tests/models/transformers/test_backend.py::test_mla`. The attention head dimensions are copied verbatim from deepseek-ai/DeepSeek-V2-Lite-Chat so that `kv_lora_rank + qk_rope_head_dim == 576`, the latent head size every MLA kernel is built around. Only the width, depth and expert counts are shrunk. Layer 0 is dense and the rest are MoE (`first_k_dense_replace=1`), matching the real model. The tokenizer is DeepSeek-V2-Lite-Chat's, unmodified.

Text generation
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed]

Text generation
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed]

Text generation
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