Related Issues (20)
- Questions on Speculative Decoding in gpt-fast generate.py HOT 2
- What happens to bias during int8 quantization? HOT 3
- Try Tensor Parallel on a server equipped with two V100 linked by NVLINK, but got a performance degradation HOT 8
- batching/dynamic batching HOT 1
- TypeError: __init__() got an unexpected keyword argument 'mmap' HOT 1
- Error when running convert_hf_checkpoint.py for TinyLlama-1.1B-intermediate-step-480k-1T
- Inference on a dataset instead of an individual prompt
- Code is extremely slow! HOT 1
- torch.compile leads to OOM with different prompts.
- How is llama-7b trained, what is the verification accuracy? HOT 2
- RuntimeError: CUDA error: named symbol not found HOT 1
- Size mismatch error occurs when loading models quantized by GPTQ HOT 1
- `eval.py` uses older version of lm_eval HOT 1
- Can GPT-Fast support larger batch sizes HOT 3
- I try to speed up with llava,but this it slower then eager mode,why?
- pass@1 score extremely low using GPT-fast API HOT 2
- AssertionError: assert model_map_json.is_file() HOT 1
- token/s speed HOT 4
- Bandwidth achieved for INT8 is much smaller than FP16 HOT 3
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from gpt-fast.