Comments (2)
Thanks for the report @yuqie!
cc @fxmarty as the author of the benchmark
from text-generation-inference.
Hi @yuqie, thank you. What happens after launching
text-generation-benchmark --tokenizer-name meta-llama/Meta-Llama-3-70B-Instruct \
--sequence-length 2048 --decode-length 128 --warmups 2 --runs 10 \
-b 1 -b 2
in the second terminal within the container?
You should have a graphic benchmark like https://youtu.be/jlMAX2Oaht0?t=198 at this point.
from text-generation-inference.
Related Issues (20)
- OpenAI supports `top_p = 0.0` and `top_p = 1.0` but TGI fails with a validation error with either of these values. HOT 4
- Gibberish generated with deepseek-ai/deepseek-coder-6.7b-base HOT 4
- CPU and Memory Utilization for TGI HOT 1
- Model offloading (preparing for Llama3 405b) HOT 3
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- Regression: get_weights_col_packed_qkv() quantize parameter not included in calls so fails with error missing positional parfameter - merge error?
- Shard process was signaled to shutdown with signal 4 rank=0 Error: ShardCannotStart HOT 13
- Can I somehow change attention type from 'FlashAttention' in the text-server-launcher? HOT 1
- `tool_calls` gives sporadic EoF parsing errors HOT 4
- max_batch_size limit doesn't work well at queue.next_batch() HOT 2
- can't start server with small --max-total-tokens. But works fine with big stting HOT 4
- Add support for Mistral-Nemo HOT 4
- TGI fails with local LORA adapters HOT 1
- Documentation about default values of model paramaters HOT 2
- Add support for Flash Attention 3 HOT 1
- gemma-7b warmup encountered an error HOT 2
- DeepSeek-Coder-V2-Lite-Instruct-AWQ HOT 1
- RuntimeError: weight lm_head.weight does not exist HOT 1
- Latest Docker image fails while initializing gemma2 HOT 1
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from text-generation-inference.