TheBloke

/

Llama-2-70B-Chat-GPTQ

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I'm trying to launch the model with TGI but it's erroring out. Here is the command I'm running:

model=TheBloke/Llama-2-70B-chat-GPTQ
num_shard=1
volume=$PWD/data
quantize=gptq

docker run -d --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:0.9.3 --model-id $model --num-shard $num_shard --quantize $quantize

Am I doing doing something wrong? Here is the error I get:

2023-07-22T02:01:59.461306Z  INFO download: text_generation_launcher: Successfully downloaded weights.
2023-07-22T02:01:59.461559Z  INFO shard-manager: text_generation_launcher: Starting shard 0 rank=0
2023-07-22T02:02:03.443521Z ERROR text_generation_launcher: Error when initializing model
Traceback (most recent call last):
  File "/opt/conda/bin/text-generation-server", line 8, in <module>
    sys.exit(app())
  File "/opt/conda/lib/python3.9/site-packages/typer/main.py", line 311, in __call__
    return get_command(self)(*args, **kwargs)
  File "/opt/conda/lib/python3.9/site-packages/click/core.py", line 1130, in __call__
    return self.main(*args, **kwargs)
  File "/opt/conda/lib/python3.9/site-packages/typer/core.py", line 778, in main
    return _main(
  File "/opt/conda/lib/python3.9/site-packages/typer/core.py", line 216, in _main
    rv = self.invoke(ctx)
  File "/opt/conda/lib/python3.9/site-packages/click/core.py", line 1657, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/opt/conda/lib/python3.9/site-packages/click/core.py", line 1404, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/opt/conda/lib/python3.9/site-packages/click/core.py", line 760, in invoke
    return __callback(*args, **kwargs)
  File "/opt/conda/lib/python3.9/site-packages/typer/main.py", line 683, in wrapper
    return callback(**use_params)  # type: ignore
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/cli.py", line 78, in serve
    server.serve(
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/server.py", line 175, in serve
    asyncio.run(
  File "/opt/conda/lib/python3.9/asyncio/runners.py", line 44, in run
    return loop.run_until_complete(main)
  File "/opt/conda/lib/python3.9/asyncio/base_events.py", line 634, in run_until_complete
    self.run_forever()
  File "/opt/conda/lib/python3.9/asyncio/base_events.py", line 601, in run_forever
    self._run_once()
  File "/opt/conda/lib/python3.9/asyncio/base_events.py", line 1905, in _run_once
    handle._run()
  File "/opt/conda/lib/python3.9/asyncio/events.py", line 80, in _run
    self._context.run(self._callback, *self._args)
> File "/opt/conda/lib/python3.9/site-packages/text_generation_server/server.py", line 142, in serve_inner
    model = get_model(
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/models/__init__.py", line 185, in get_model
    return FlashLlama(
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/models/flash_llama.py", line 65, in __init__
    model = FlashLlamaForCausalLM(config, weights)
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/models/custom_modeling/flash_llama_modeling.py", line 452, in __init__
    self.model = FlashLlamaModel(config, weights)
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/models/custom_modeling/flash_llama_modeling.py", line 390, in __init__
    [
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/models/custom_modeling/flash_llama_modeling.py", line 391, in <listcomp>
    FlashLlamaLayer(
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/models/custom_modeling/flash_llama_modeling.py", line 326, in __init__
    self.self_attn = FlashLlamaAttention(
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/models/custom_modeling/flash_llama_modeling.py", line 199, in __init__
    self.query_key_value = _load_gqa(config, prefix, weights)
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/models/custom_modeling/flash_llama_modeling.py", line 152, in _load_gqa
    weights.get_sharded(f"{prefix}.q_proj.weight", dim=0),
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/utils/weights.py", line 98, in get_sharded
    filename, tensor_name = self.get_filename(tensor_name)
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/utils/weights.py", line 49, in get_filename
    raise RuntimeError(f"weight {tensor_name} does not exist")
RuntimeError: weight model.layers.0.self_attn.q_proj.weight does not exist