WeDLM
A Tencent diffusion language model capable of producing multiple tokens in parallel, with inference speeds up to 10 times faster than traditional autoregressive LLMs. Compatible with standard causal attention and native KV cache, optimized via vLLM
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A Tencent diffusion language model capable of producing multiple tokens in parallel, with inference speeds up to 10 times faster than traditional autoregressive LLMs. Compatible with standard causal attention and native KV cache, optimized via vLLM » Learn more: ChatGPT Perplexity Free 8184 Useful Links Official Website Hugging Face GitHub WeDLM-8B-Instruct
About WeDLM
A Tencent diffusion language model capable of producing multiple tokens in parallel, with inference speeds up to 10 times faster than traditional autoregressive LLMs. Compatible with standard causal attention and native KV cache, optimized via vLLM
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