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Print context length / instruction template to terminal when loading models

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oobabooga 2023-11-15 16:00:51 -08:00
parent e05d8fd441
commit e6f44d6d19
2 changed files with 9 additions and 6 deletions
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7
extensions/openai/completions.py
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@ -78,12 +78,7 @@ def process_parameters(body, is_legacy=False):
max_tokens_str = 'length' if is_legacy else 'max_tokens' max_tokens_str = 'length' if is_legacy else 'max_tokens'
generate_params['max_new_tokens'] = body.pop(max_tokens_str) generate_params['max_new_tokens'] = body.pop(max_tokens_str)
if generate_params['truncation_length'] == 0: if generate_params['truncation_length'] == 0:
if shared.args.loader and shared.args.loader.lower().startswith('exllama'): generate_params['truncation_length'] = shared.settings['truncation_length']
generate_params['truncation_length'] = shared.args.max_seq_len
elif shared.args.loader and shared.args.loader in ['llama.cpp', 'llamacpp_HF', 'ctransformers']:
generate_params['truncation_length'] = shared.args.n_ctx
else:
generate_params['truncation_length'] = shared.settings['truncation_length']
if body['preset'] is not None: if body['preset'] is not None:
preset = load_preset_memoized(body['preset']) preset = load_preset_memoized(body['preset'])

8
modules/models.py
View File

@ -97,6 +97,13 @@ def load_model(model_name, loader=None):
llama_attn_hijack.hijack_llama_attention() llama_attn_hijack.hijack_llama_attention()
shared.settings.update({k: v for k, v in metadata.items() if k in shared.settings}) shared.settings.update({k: v for k, v in metadata.items() if k in shared.settings})
if loader.lower().startswith('exllama'):
shared.settings['truncation_length'] = shared.args.max_seq_len
elif loader in ['llama.cpp', 'llamacpp_HF', 'ctransformers']:
shared.settings['truncation_length'] = shared.args.n_ctx
logger.info(f"CONTEXT LENGTH: {shared.settings['truncation_length']}")
logger.info(f"INSTRUCTION TEMPLATE: {shared.settings['instruction_template']}")
logger.info(f"Loaded the model in {(time.time()-t0):.2f} seconds.") logger.info(f"Loaded the model in {(time.time()-t0):.2f} seconds.")
return model, tokenizer return model, tokenizer
@ -395,6 +402,7 @@ def get_max_memory_dict():
total_mem = (torch.xpu.get_device_properties(0).total_memory / (1024 * 1024)) total_mem = (torch.xpu.get_device_properties(0).total_memory / (1024 * 1024))
else: else:
total_mem = (torch.cuda.get_device_properties(0).total_memory / (1024 * 1024)) total_mem = (torch.cuda.get_device_properties(0).total_memory / (1024 * 1024))
suggestion = round((total_mem - 1000) / 1000) * 1000 suggestion = round((total_mem - 1000) / 1000) * 1000
if total_mem - suggestion < 800: if total_mem - suggestion < 800:
suggestion -= 1000 suggestion -= 1000