Comments (2)
CC @JRosenkranz, since you contributed the MLP Speculator feature recently 🙏
from text-generation-inference.
Hey @josephrocca, I don't think directly changing the name of the base model is going to work out here; could you briefly share what you're trying to do here?
If I understand correctly, you're currently using the ibm-fms/llama-13b-accelerator
medusa accelerator in FP16 model that's currently based off of the llama-2-13b checkpoint, also in FP16.
You'd like to switch the backend to use a GPT-Q-quantized model for memory constraints I believe? Is it possible for you to quantize it directly using the --quantize
command as in the QPTQ docs?
Please share the command here if so and I'll take a look; I'll take a look at the related issue with Command-R plus model as well to see what's happening.
from text-generation-inference.
Related Issues (20)
- Some typo error in the picture of flash_attention.md HOT 1
- Unable to run TGI following the instructions on the readme HOT 5
- docker-compose throws `flash attention is not installed` error HOT 3
- Phi-3-mini-128k crashes on simple query HOT 2
- Add Environment Variable for OTLP Service Name HOT 2
- ImportError: libcuda.so.1: cannot open shared object file: No such file or directory HOT 10
- Tree-attention for medusa HOT 2
- get stucked when run text-generation-benchmark on AMD gpu HOT 2
- Unable to load Qwen2-72B-Instruct-exl2 model HOT 2
- `mistralai/Mixtral-8x22B-Instruct-v0.1`: Getting `RuntimeError: 'ptxas' failed with error code 127` while warming up on 8 GPUs HOT 2
- `mistralai/Mixtral-8x22B-Instruct-v0.1`: Successful warmup, crashes on inference HOT 2
- Long install report HOT 1
- P40 with USE_FLASH_ATTENTION=False HOT 2
- Sparse Marlin HOT 3
- protobuf version not compatible HOT 1
- Qwen/Qwen2-72B-Instruct-AWQ gibberish output in 2.0.4 HOT 3
- Will Support Disaggregating Prefill and Decoding? HOT 1
- `top_p` messes up `top_logprobs` HOT 2
- template_error in /chat/completions HOT 2
- how to launch a service using downloaded model weights? HOT 2
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