Comments (5)
Thank you for filing the issue. We have found a fix for the problem and it will be available in an upcoming release.
from transformers-neuronx.
Currently continuous batching support has only been officially released with Llama: https://awsdocs-neuron.readthedocs-hosted.com/en/latest/libraries/transformers-neuronx/transformers-neuronx-developer-guide-for-continuous-batching.html#overview-of-continuous-batching-api-and-vllm-support
Mistral/Mixtral are planned for future releases. We will update this ticket when we have released official support for the Mixtral model.
from transformers-neuronx.
Then Mistral and Mixtral are actually not supported, because static batching with padding (the alternative to continuous batching) has been broken for all models since the introduction of continuous batching: #79. Or has it been fixed ?
from transformers-neuronx.
We had the 2.19 release going out this week. With this new release we have now added support for Mistral. Support for Mixtral would be added in one of the upcoming releases.
from transformers-neuronx.
which AWS Neuron Image shall I roll back in order to correctly run Mixstral?
from transformers-neuronx.
Related Issues (20)
- 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
- llava support HOT 3
- Any plan to support Qwen-2 Model
- Neuron model NEFFs are dependent on the python path HOT 2
- Not able to load llama 3 70b on inf2.24xlarge instance HOT 6
- Gibberish output for princeton-nlp/Sheared-LLaMA-1.3B with continuous batching HOT 2
- [Question] BasicTransformerBlock
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from transformers-neuronx.