Comments (1)
Hi @bibutikoley, vLLM doesn't support models in the GGUF format. Please use original precision models or one of the many quantizations we do support, such as GPTQ, AWQ, FP8, etc. Thanks!
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Related Issues (20)
- [Bug]: Error when running multimodal large models with --enable-prefix-caching HOT 1
- [Bug]: Missing code checking when using Encoder/Decoder models on CPU backend
- [Bug]: Mistral Large Instruct 2407 tool calling leakage HOT 7
- [Feature]: Add ray cluster start logic to vllm container for multi host inference with leaderworkerset
- [Bug]: 3090 P@P HOT 2
- [RFC]: Reimplement and separate beam search on top of vLLM core HOT 6
- [BUG]: Outline performance regression from v0.5.2 to 0.5.3
- [Feature]: Support Tools Calling For Qwen2
- [Performance]: guided generation is very slow in offline mode HOT 14
- [Usage]: Correct way to load lora model HOT 1
- [Performance]: Image preprocessing is executed twice for same image during VLLM(Qwen2-vl) inference HOT 11
- [Bug]: vLLM crashes with larger context sizes on TPUs HOT 8
- [Bug]: 段错误 (核心已转储) HOT 8
- Do vLLM support `input_embeds` as input while using LLama? HOT 15
- [Bug]: TimeoutError During Benchmark Profiling with Torch Profiler on vLLM v0.6.0 HOT 6
- [Bug]: vLLM v0.6.0 (CPU) server failed to start on setting VLLM_CPU_OMP_THREADS_BIND HOT 2
- [Usage]: example/offline_inference_chat.py run error. HOT 1
- [Usage]: How to stop VLLM during generation ? HOT 2
- [RFC]: Pinned Caching with Automatic Prefix Caching (Related to Anthropic Prompt Caching API) HOT 12
- [Feature]: Official ROCm Binary to Speed Up vLLM Installation
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