Comments (3)
Hi @aliseyfi:
We are working on adding serialization support for all models in an upcoming release. We will update this ticket when serialization support is available.
from transformers-neuronx.
Hey @aliseyfi , does model.save work for you?
Example code from https://huggingface.co/aws-neuron/Mistral-neuron:
model_neuron = MistralForSampling.from_pretrained('mistralai/Mistral-7B-Instruct-v0.1-split', batch_size=1, \
tp_degree=2, n_positions=256, amp='bf16', neuron_config=neuron_config)
model_neuron.to_neuron()
#save compiled neff files out to the same directory
model_neuron.save("mistralai/Mistral-7B-Instruct-v0.1-split")
from transformers-neuronx.
Hey @aliseyfi , does model.save work for you?
Example code from https://huggingface.co/aws-neuron/Mistral-neuron:
model_neuron = MistralForSampling.from_pretrained('mistralai/Mistral-7B-Instruct-v0.1-split', batch_size=1, \ tp_degree=2, n_positions=256, amp='bf16', neuron_config=neuron_config) model_neuron.to_neuron() #save compiled neff files out to the same directory model_neuron.save("mistralai/Mistral-7B-Instruct-v0.1-split")
Sorry, I don't work on that project anymore. Thanks for the update though.
from transformers-neuronx.
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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