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ctransformers: Fix up model_type name consistency (#3567)
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@ -259,7 +259,7 @@ Optionally, you can use the following command-line flags:
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| Flag | Description |
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| Flag | Description |
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|-------------|-------------|
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| `--model_type MODEL_TYPE` | Model type of pre-quantized model. Currently gpt2, gptj, gpt_neox, falcon, llama, mpt, gpt_bigcode, dolly-v2, and replit are supported. |
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| `--model_type MODEL_TYPE` | Model type of pre-quantized model. Currently gpt2, gptj, gptneox, falcon, llama, mpt, starcoder (gptbigcode), dollyv2, and replit are supported. |
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#### AutoGPTQ
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#### AutoGPTQ
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@ -5,7 +5,7 @@
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.*(gpt-j|gptj|gpt4all-j|malion-6b|pygway|pygmalion-6b|dolly-v1):
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.*(gpt-j|gptj|gpt4all-j|malion-6b|pygway|pygmalion-6b|dolly-v1):
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model_type: 'gptj'
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model_type: 'gptj'
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.*(gpt-neox|koalpaca-polyglot|polyglot.*koalpaca|polyglot-ko|polyglot_ko|pythia|stablelm|incite|dolly-v2|polycoder|h2ogpt-oig|h2ogpt-oasst1|h2ogpt-gm):
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.*(gpt-neox|koalpaca-polyglot|polyglot.*koalpaca|polyglot-ko|polyglot_ko|pythia|stablelm|incite|dolly-v2|polycoder|h2ogpt-oig|h2ogpt-oasst1|h2ogpt-gm):
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model_type: 'gpt_neox'
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model_type: 'gptneox'
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.*llama:
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.*llama:
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model_type: 'llama'
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model_type: 'llama'
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.*bloom:
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.*bloom:
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@ -17,9 +17,9 @@
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.*mpt:
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.*mpt:
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model_type: 'mpt'
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model_type: 'mpt'
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.*(starcoder|starchat):
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.*(starcoder|starchat):
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model_type: 'gpt_bigcode'
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model_type: 'starcoder'
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.*dolly-v2:
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.*dolly-v2:
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model_type: 'dolly-v2'
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model_type: 'dollyv2'
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.*replit:
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.*replit:
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model_type: 'replit'
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model_type: 'replit'
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llama-65b-gptq-3bit:
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llama-65b-gptq-3bit:
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@ -290,6 +290,7 @@ loaders_model_types = {
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"dollyv2"
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"dollyv2"
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"replit",
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"replit",
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"starcoder",
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"starcoder",
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"gptbigcode",
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"falcon"
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"falcon"
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],
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],
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}
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}
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