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Download mods/load_cache.py from NLPark/llama-python-streamingllm: direct link, hf CLI and curl.
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- Download file 4.09 kB
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https://huggingface.co/spaces/NLPark/llama-python-streamingllm/resolve/main/mods/load_cache.py
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hf download hf://spaces/NLPark/llama-python-streamingllm/mods/load_cache.py
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curl -L -o load_cache.py https://huggingface.co/spaces/NLPark/llama-python-streamingllm/resolve/main/mods/load_cache.py
4.09 kB
| import os | |
| def init(cfg): | |
| print(cfg['setting_cache_path'].value) | |
| if os.path.exists(cfg['setting_cache_path'].value): | |
| # ========== 加载角色卡-缓存 ========== | |
| tmp = cfg['model'].load_session(cfg['setting_cache_path'].value) | |
| print(f"load cache from {cfg['setting_cache_path'].value} {tmp}") | |
| tmp = cfg['chat_template']('system', | |
| cfg['text_format'](cfg['role_char_d'].value, | |
| char=cfg['role_char'].value, | |
| user=cfg['role_usr'].value)) | |
| cfg['setting_n_keep'].value = len(tmp) | |
| tmp = cfg['chat_template'](cfg['role_char'].value, | |
| cfg['text_format'](cfg['role_chat_style'].value, | |
| char=cfg['role_char'].value, | |
| user=cfg['role_usr'].value)) | |
| cfg['setting_n_keep'].value += len(tmp) | |
| # ========== 加载角色卡-第一条消息 ========== | |
| cfg['chatbot'] = [] | |
| for one in cfg["role_char_first"]: | |
| one['name'] = cfg['text_format'](one['name'], | |
| char=cfg['role_char'].value, | |
| user=cfg['role_usr'].value) | |
| one['value'] = cfg['text_format'](one['value'], | |
| char=cfg['role_char'].value, | |
| user=cfg['role_usr'].value) | |
| if one['name'] == cfg['role_char'].value: | |
| cfg['chatbot'].append((None, cfg['chat_display_format'](one['value']))) | |
| print(one) | |
| else: | |
| # ========== 加载角色卡-角色描述 ========== | |
| tmp = cfg['chat_template']('system', | |
| cfg['text_format'](cfg['role_char_d'].value, | |
| char=cfg['role_char'].value, | |
| user=cfg['role_usr'].value)) | |
| cfg['setting_n_keep'].value = cfg['model'].eval_t(tmp) # 此内容永久存在 | |
| # ========== 加载角色卡-回复示例 ========== | |
| tmp = cfg['chat_template'](cfg['role_char'].value, | |
| cfg['text_format'](cfg['role_chat_style'].value, | |
| char=cfg['role_char'].value, | |
| user=cfg['role_usr'].value)) | |
| cfg['setting_n_keep'].value = cfg['model'].eval_t(tmp) # 此内容永久存在 | |
| # ========== 加载角色卡-第一条消息 ========== | |
| cfg['chatbot'] = [] | |
| for one in cfg["role_char_first"]: | |
| one['name'] = cfg['text_format'](one['name'], | |
| char=cfg['role_char'].value, | |
| user=cfg['role_usr'].value) | |
| one['value'] = cfg['text_format'](one['value'], | |
| char=cfg['role_char'].value, | |
| user=cfg['role_usr'].value) | |
| if one['name'] == cfg['role_char'].value: | |
| cfg['chatbot'].append((None, cfg['chat_display_format'](one['value']))) | |
| print(one) | |
| tmp = cfg['chat_template'](one['name'], one['value']) | |
| cfg['model'].eval_t(tmp) # 此内容随上下文增加将被丢弃 | |
| # ========== 保存角色卡-缓存 ========== | |
| with open(cfg['setting_cache_path'].value, 'wb') as f: | |
| pass | |
| tmp = cfg['model'].save_session(cfg['setting_cache_path'].value) | |
| print(f'save cache {tmp}') | |
| # ========== 上传缓存 ========== | |
| if os.environ.get("HF_TOKEN"): | |
| from huggingface_hub import login, CommitScheduler | |
| login(token=os.environ.get("HF_TOKEN"), write_permission=True) | |
| CommitScheduler(repo_id='Limour/llama-python-streamingllm-cache', repo_type='dataset', folder_path='cache') | |