Comments (4)
aws-rhsoln
commented on July 3, 2024
Thank you for reporting the issue. We are able to reproduce the issue with the 2.14 release and it seems to be happening because of a compiler failure. We are working on a fix.
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awsilya
commented on July 3, 2024
@eladspi would you mind trying just released 2.14.1 ? We addressed llama compilation issues.
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eladspi
commented on July 3, 2024
Thanks! We'll work on it and update.
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hannanjgaws
commented on July 3, 2024
Since we haven't heard back from you for awhile we'll close this ticket. Please feel free to open a new ticket if you're still encountering any issues running your model.
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Related Issues (20)
- Can't save/serialize any models except GPT2 HOT 3
- Compilation error on llama 7 B with batch size 8 HOT 3
- from_pretrained is broken after transformers made safetensor serialization default HOT 1
- LLaMA fails when the input token length is over 1790 tokens HOT 6
- 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
- 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 5
- 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 6
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