Initial GPTQ model commit
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README.md
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@@ -58,7 +58,7 @@ from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
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import argparse
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model_name_or_path = "TheBloke/samantha-1.1-llama-33B-GPTQ"
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model_basename = "
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use_triton = False
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@@ -103,17 +103,17 @@ print(pipe(prompt_template)[0]['generated_text'])
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## Provided files
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**
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This will work with AutoGPTQ and CUDA versions of GPTQ-for-LLaMa. There are reports of issues with Triton mode of recent GPTQ-for-LLaMa. If you have issues, please use AutoGPTQ instead.
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It was created
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* `
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* Works with AutoGPTQ in CUDA or Triton modes.
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* Works with GPTQ-for-LLaMa in CUDA mode. May have issues with GPTQ-for-LLaMa Triton mode.
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* Works with text-generation-webui, including one-click-installers.
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* Parameters: Groupsize =
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<!-- footer start -->
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## Discord
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import argparse
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model_name_or_path = "TheBloke/samantha-1.1-llama-33B-GPTQ"
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model_basename = "samantha-1.1-llama-33b-GPTQ-4bit--1g.act.order"
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use_triton = False
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## Provided files
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**samantha-1.1-llama-33b-GPTQ-4bit--1g.act.order.safetensors**
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This will work with AutoGPTQ and CUDA versions of GPTQ-for-LLaMa. There are reports of issues with Triton mode of recent GPTQ-for-LLaMa. If you have issues, please use AutoGPTQ instead.
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It was created without group_size to lower VRAM requirements, and with --act-order (desc_act) to boost inference accuracy as much as possible.
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* `samantha-1.1-llama-33b-GPTQ-4bit--1g.act.order.safetensors`
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* Works with AutoGPTQ in CUDA or Triton modes.
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* Works with GPTQ-for-LLaMa in CUDA mode. May have issues with GPTQ-for-LLaMa Triton mode.
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* Works with text-generation-webui, including one-click-installers.
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* Parameters: Groupsize = -1. Act Order / desc_act = True.
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<!-- footer start -->
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## Discord
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