mirror of
https://github.com/acon96/home-llm.git
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196 lines
13 KiB
JSON
196 lines
13 KiB
JSON
{
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"config": {
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"error": {
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"download_failed": "The download failed to complete: {exception}",
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"failed_to_connect": "Failed to connect to the remote API: {exception}",
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"missing_model_api": "The selected model is not provided by this API.",
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"missing_model_file": "The provided file does not exist.",
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"other_existing_local": "Another model is already loaded locally. Please unload it or configure a remote model.",
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"unknown": "Unexpected error",
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"pip_wheel_error": "Pip returned an error while installing the wheel! Please check the Home Assistant logs for more details."
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},
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"progress": {
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"download": "Please wait while the model is being downloaded from HuggingFace. This can take a few minutes.",
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"install_local_wheels": "Please wait while Llama.cpp is installed..."
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},
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"step": {
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"local_model": {
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"data": {
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"downloaded_model_file": "Local file name",
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"downloaded_model_quantization": "Downloaded model quantization",
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"huggingface_model": "HuggingFace Model",
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"selected_language": "Model Language"
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},
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"description": "Please select a model to use.\n\n**Models supported out of the box:**\n1. [Home LLM](https://huggingface.co/collections/acon96/home-llm-6618762669211da33bb22c5a): Home 3B & Home 1B\n2. Mistral: [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) or [Mixtral 8x7B](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)\n3. Llama 3: [8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) and [70B](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)",
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"title": "Select Model"
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},
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"remote_model": {
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"data": {
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"host": "API Hostname",
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"huggingface_model": "Model Name",
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"port": "API Port",
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"ssl": "Use HTTPS",
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"openai_api_key": "API Key",
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"text_generation_webui_admin_key": "Admin Key",
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"text_generation_webui_preset": "Generation Preset/Character Name",
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"remote_use_chat_endpoint": "Use chat completions endpoint",
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"text_generation_webui_chat_mode": "Chat Mode",
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"selected_language": "Model Language"
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},
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"description": "Provide the connection details to connect to the API that is hosting the model.\n\n**Models supported out of the box:**\n1. [Home LLM](https://huggingface.co/collections/acon96/home-llm-6618762669211da33bb22c5a): Home 3B & Home 1B\n2. Mistral: [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) or [Mixtral 8x7B](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)",
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"title": "Configure connection to remote API"
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},
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"pick_backend": {
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"data": {
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"download_model_from_hf": "Download model from HuggingFace",
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"use_local_backend": "Use Llama.cpp"
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},
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"description": "Select the backend for running the model. The options are:\n1. Llama.cpp with a model from HuggingFace\n2. Llama.cpp with a model stored on the disk\n3. [text-generation-webui API](https://github.com/oobabooga/text-generation-webui)\n4. Generic OpenAI API Compatible API\n5. [llama-cpp-python Server](https://llama-cpp-python.readthedocs.io/en/latest/server/)\n6. [Ollama API](https://github.com/jmorganca/ollama/blob/main/docs/api.md)",
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"title": "Select Backend"
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},
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"model_parameters": {
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"data": {
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"max_new_tokens": "Maximum tokens to return in response",
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"prompt": "System Prompt",
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"prompt_template": "Prompt Format",
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"temperature": "Temperature",
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"top_k": "Top K",
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"top_p": "Top P",
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"min_p": "Min P",
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"typical_p": "Typical P",
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"request_timeout": "Remote Request Timeout (seconds)",
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"ollama_keep_alive": "Keep Alive/Inactivity Timeout (minutes)",
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"ollama_json_mode": "JSON Output Mode",
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"extra_attributes_to_expose": "Additional attribute to expose in the context",
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"allowed_service_call_arguments": "Arguments allowed to be pass to service calls",
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"gbnf_grammar": "Enable GBNF Grammar",
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"gbnf_grammar_file": "GBNF Grammar Filename",
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"openai_api_key": "API Key",
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"text_generation_webui_admin_key": "Admin Key",
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"service_call_regex": "Service Call Regex",
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"refresh_prompt_per_tern": "Refresh System Prompt Every Turn",
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"remember_conversation": "Remember conversation",
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"remember_num_interactions": "Number of past interactions to remember",
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"in_context_examples": "Enable in context learning (ICL) examples",
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"in_context_examples_file": "In context learning examples CSV filename",
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"num_in_context_examples": "Number of ICL examples to generate",
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"text_generation_webui_preset": "Generation Preset/Character Name",
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"remote_use_chat_endpoint": "Use chat completions endpoint",
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"text_generation_webui_chat_mode": "Chat Mode",
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"prompt_caching": "Enable Prompt Caching",
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"prompt_caching_interval": "Prompt Caching fastest refresh interval (sec)",
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"context_length": "Context Length",
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"batch_size": "Batch Size",
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"n_threads": "Thread Count",
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"n_batch_threads": "Batch Thread Count"
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},
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"data_description": {
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"prompt": "See [here](https://github.com/acon96/home-llm/blob/develop/docs/Model%20Prompting.md) for more information on model prompting.",
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"in_context_examples": "If you are using a model that is not specifically fine-tuned for use with this integration: enable this",
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"remote_use_chat_endpoint": "If this is enabled, then the integration will use the chat completion HTTP endpoint instead of the text completion one.",
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"extra_attributes_to_expose": "This is the list of Home Assistant 'attributes' that are exposed to the model. This limits how much information the model is able to see and answer questions on.",
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"allowed_service_call_arguments": "This is the list of parameters that are allowed to be passed to Home Assistant service calls.",
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"gbnf_grammar": "Forces the model to output properly formatted responses. Ensure the file specified below exists in the integration directory.",
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"prompt_caching": "Prompt caching attempts to pre-process the prompt (house state) and cache the processing that needs to be done to understand the prompt. Enabling this will cause the model to re-process the prompt any time an entity state changes in the house, restricted by the interval below."
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},
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"description": "Please configure the model according to how it should be prompted. There are many different options and selecting the correct ones for your model is essential to getting optimal performance. See [here](https://github.com/acon96/home-llm/blob/develop/docs/Backend%20Configuration.md) for more information about the options on this page.\n\n**Some defaults may have been chosen for you based on the name of the selected model name or filename.** If you renamed a file or are using a fine-tuning of a supported model, then the defaults may not have been detected.",
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"title": "Configure the selected model"
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}
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}
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},
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"options": {
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"step": {
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"init": {
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"data": {
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"max_new_tokens": "Maximum tokens to return in response",
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"prompt": "System Prompt",
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"prompt_template": "Prompt Format",
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"temperature": "Temperature",
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"top_k": "Top K",
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"top_p": "Top P",
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"min_p": "Min P",
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"typical_p": "Typical P",
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"request_timeout": "Remote Request Timeout (seconds)",
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"ollama_keep_alive": "Keep Alive/Inactivity Timeout (minutes)",
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"ollama_json_mode": "JSON Output Mode",
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"extra_attributes_to_expose": "Additional attribute to expose in the context",
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"allowed_service_call_arguments": "Arguments allowed to be pass to service calls",
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"gbnf_grammar": "Enable GBNF Grammar",
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"gbnf_grammar_file": "GBNF Grammar Filename",
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"openai_api_key": "API Key",
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"text_generation_webui_admin_key": "Admin Key",
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"service_call_regex": "Service Call Regex",
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"refresh_prompt_per_tern": "Refresh System Prompt Every Turn",
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"remember_conversation": "Remember conversation",
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"remember_num_interactions": "Number of past interactions to remember",
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"in_context_examples": "Enable in context learning (ICL) examples",
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"in_context_examples_file": "In context learning examples CSV filename",
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"num_in_context_examples": "Number of ICL examples to generate",
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"text_generation_webui_preset": "Generation Preset/Character Name",
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"remote_use_chat_endpoint": "Use chat completions endpoint",
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"text_generation_webui_chat_mode": "Chat Mode",
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"prompt_caching": "Enable Prompt Caching",
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"prompt_caching_interval": "Prompt Caching fastest refresh interval (sec)",
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"context_length": "Context Length",
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"batch_size": "Batch Size",
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"n_threads": "Thread Count",
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"n_batch_threads": "Batch Thread Count"
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},
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"data_description": {
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"prompt": "See [here](https://github.com/acon96/home-llm/blob/develop/docs/Model%20Prompting.md) for more information on model prompting.",
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"in_context_examples": "If you are using a model that is not specifically fine-tuned for use with this integration: enable this",
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"remote_use_chat_endpoint": "If this is enabled, then the integration will use the chat completion HTTP endpoint instead of the text completion one.",
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"extra_attributes_to_expose": "This is the list of Home Assistant 'attributes' that are exposed to the model. This limits how much information the model is able to see and answer questions on.",
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"allowed_service_call_arguments": "This is the list of parameters that are allowed to be passed to Home Assistant service calls.",
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"gbnf_grammar": "Forces the model to output properly formatted responses. Ensure the file specified below exists in the integration directory.",
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"prompt_caching": "Prompt caching attempts to pre-process the prompt (house state) and cache the processing that needs to be done to understand the prompt. Enabling this will cause the model to re-process the prompt any time an entity state changes in the house, restricted by the interval below."
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}
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}
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},
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"error": {
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"sys_refresh_caching_enabled": "System prompt refresh must be enabled for prompt caching to work!",
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"missing_gbnf_file": "The GBNF file was not found: '{filename}'",
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"missing_icl_file": "The in context learning example CSV file was not found: '{filename}'"
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}
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},
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"selector": {
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"prompt_template": {
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"options": {
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"chatml": "ChatML",
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"vicuna": "Vicuna",
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"alpaca": "Alpaca",
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"mistral": "Mistral",
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"zephyr": "Zephyr (<|endoftext|>)",
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"zephyr2": "Zephyr ('</s>')",
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"llama3": "Llama 3",
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"no_prompt_template": "None"
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}
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},
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"model_backend": {
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"options": {
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"llama_cpp_hf": "Llama.cpp (HuggingFace)",
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"llama_cpp_existing": "Llama.cpp (existing model)",
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"text-generation-webui_api": "text-generation-webui API",
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"generic_openai": "Generic OpenAI Compatible API",
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"llama_cpp_python_server": "llama-cpp-python Server",
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"ollama": "Ollama API"
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}
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},
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"text_generation_webui_chat_mode": {
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"options": {
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"chat": "Chat",
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"instruct": "Instruct",
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"chat-instruct": "Chat-Instruct"
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}
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},
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"selected_language": {
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"options": {
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"en": "English",
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"de": "German",
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"fr": "French",
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"es": "Spanish"
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}
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}
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}
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} |