Comments (2)
Hi @massi-ang The issue is resolved.
Name: transformers-neuronx
Version: 0.9.387
Summary: Transformers Neuron for Trn1 and Inf2 is a software package that enables PyTorch users to perform large language model (LLM) inference on second-generation Neuron hardware
Home-page: https://github.com/aws-neuron/transformers-neuronx
Author:
Author-email:
License: Apache License
Location: /home/ubuntu/aws_neuron_venv_pytorch/lib/python3.8/site-packages
Requires: accelerate, safetensors, torch-neuronx, transformers
Required-by:
from transformers-neuronx.
Hello @massi-ang,
The fix for this is under review and should be fixed in a near-term release.
-Taylor
from transformers-neuronx.
Related Issues (20)
- Llama2 inference overhead time way too long HOT 6
- llama-2/codellama benchmark for inf2.xlarge HOT 4
- Mixtral Model support HOT 2
- Vicuna13B model support HOT 1
- Inf2 Modified Llama 2 Loading Issue HOT 11
- Skipping generation for useless tokens, and modiying cacheids HOT 3
- How to use generate() with inputs_embeds HOT 2
- Mixtral config issue -- not handling null well HOT 8
- Generate Llama 2 from Embeddings HOT 5
- Infering logits from `model.forward` for the entire batch instead of the last forward's output. HOT 6
- Support for MPT model HOT 1
- `stopping_criteria_list(input_ids, probs)` does not check for the correct sequence. HOT 4
- User feedback when compiling and reloading a large model HOT 1
- Issue while compiling Mistral 7B 0.2 Instruct HOT 5
- Backward compatibility with saved llama 2 compiled artifacts HOT 1
- NaN outputs when masking llama model inputs HOT 8
- Improve Neuron model loading time HOT 4
- Add support for `gemma` models HOT 1
- Add support for Baichuan-13B model
- Latest changes introduced for continuous batching break Mixtral model HOT 5
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