Comments (1)
I will work on implementing this model.
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Related Issues (20)
- [Bug]: Running the punica lora on Qwen1.5 32B model encountered RuntimeError: No suitable kernel. h_in=64 h_out=3424 dtype=Float out_dtype=BFloat16 HOT 1
- [Bug]: export failed when kv cache fp8 quantizing Qwen1.5-72B-Chat-GPTQ-Int4 HOT 1
- [Bug]: Not able to do lora inference with phi-3
- [Feature]: Enforce formatting standards for C++ and CUDA code HOT 1
- [Performance]: Why does vllm spend so much memory even using OPT model? HOT 2
- [Bug]: Unable to serve Llama3 using vLLM Docker container HOT 2
- [Feature]: Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
- [Bug]: cannot specify which gpu to be used when start vllm api server
- [Bug]: When enforce_eager is True or False, the paged_attention version used is inconsistent
- VRAM USAGE WHEN LOADING THE MODEL
- [Bug]:Segmentation fault encountered while running model HOT 1
- [New Model]: fastspeech2_conformer (just need a new attention mechanism: RelPositionMultiHeadedAttention) HOT 4
- [New Model]: Blip2 Support required
- [Bug]: why the logits is different between 0.4.1 and 0.4.2 HOT 1
- [Bug]: squeezeLLM with sparse could not work. HOT 1
- [Bug]: ValueError when using LoRA with CohereForCausalLM model
- [RFC]: Support specifying quant_config details in the LLM or Server entrypoints HOT 1
- [Usage]: Vllm AutoAWQ with 4-GPU doesnt utilize GPU
- [Usage]: How to batch requests to chat models with OpenAI server? HOT 2
- [Usage]: prompt_logprompt from endpoint
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