commit 052cbb5db9fd981e28f42fdb10490753adff60da Author: ModelHub XC Date: Thu Oct 22 17:29:17 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: acon96/Home-Llama-3.2-3B Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..1e4f866 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,42 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx 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b/Home-Llama-3.2-3B.q8_0.gguf new file mode 100644 index 0000000..ef300af --- /dev/null +++ b/Home-Llama-3.2-3B.q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b713d3af27a36abb0e54b8c68c89869d4ecc90d16bee1f4e05dd9c60c26db84b +size 3421899680 diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..dfc07d3 --- /dev/null +++ b/LICENSE @@ -0,0 +1,111 @@ +LLAMA 3.2 COMMUNITY LICENSE AGREEMENT +Llama 3.2 Version Release Date: September 25, 2024 + +“Agreement” means the terms and conditions for use, reproduction, distribution +and modification of the Llama Materials set forth herein. + +“Documentation” means the specifications, manuals and documentation accompanying Llama 3.2 +distributed by Meta at https://llama.meta.com/doc/overview. + +“Licensee” or “you” means you, or your employer or any other person or entity (if you are +entering into this Agreement on such person or entity’s behalf), of the age required under +applicable laws, rules or 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The courts of California shall have exclusive jurisdiction of +any dispute arising out of this Agreement. \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..f7a28bf --- /dev/null +++ b/README.md @@ -0,0 +1,57 @@ +--- +datasets: +- acon96/Home-Assistant-Requests +license: other +license_link: https://huggingface.co/acon96/Home-Llama-3.2-3B/raw/main/LICENSE +language: +- en +- de +- es +- fr +tags: +- automation +- home +- assistant +pipeline_tag: text-generation +base_model: meta-llama/Llama-3.2-3B-Instruct +base_model_relation: finetune +--- +# Home Llama 3.2 3B +The "Home Llama 3.2" model is a fine tuning of the Llama 3.2 3B model from Meta. The model is able to control devices in the user's house as well as perform basic question and answering. The model is explicitly trained to support English, German, Spanish, and French; the base model additionally supports Italian, Portuguese, Hindi, and Thai. The fine tuning dataset is a [custom curated dataset](https://github.com/acon96/home-llm) designed to teach the model function calling. + +The model is quantized using Lama.cpp in order to enable running the model in super low resource environments that are common with Home Assistant installations such as Rapsberry Pis. + +The model can be used as an "instruct" type model using the Llama3 prompt format. The system prompt is used to provide information about the state of the Home Assistant installation including available devices and callable services. + +Example "system" prompt: +``` +You are 'Al', a helpful AI Assistant that controls the devices in a house. Complete the following task as instructed with the information provided only. +Services: light.turn_off(), light.turn_on(brightness,rgb_color), fan.turn_on(), fan.turn_off() +Devices: +light.office 'Office Light' = on;80% +fan.office 'Office fan' = off +light.kitchen 'Kitchen Light' = on;80%;red +light.bedroom 'Bedroom Light' = off +``` + +Output from the model will consist of a response that should be relayed back to the user, along with an optional code block that will invoke different Home Assistant "services". The output format from the model for function calling is as follows: + +````` +turning on the kitchen lights for you now +```homeassistant +{ "service": "light.turn_on", "target_device": "light.kitchen" } +``` +````` + +The model is also capable of basic instruct and QA tasks because of the instruction fine-tuning in the base model. For example, the model is able to perform basic logic tasks such as the following: + +``` +user if mary is 7 years old, and I am 3 years older than her. how old am I? +assistant If Mary is 7 years old, then you are 10 years old (7+3=10). +``` + +## Datasets +Snythetic Dataset for SFT - https://huggingface.co/datasets/acon96/Home-Assistant-Requests + +## License +This model is a fine-tuning of the Llama 3.2 model series that is licensed under the LLAMA 3.2 COMMUNITY LICENSE AGREEMENT \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..483b7eb --- /dev/null +++ b/config.json @@ -0,0 +1,40 @@ +{ + "_name_or_path": "meta-llama/Llama-3.2-3B-Instruct", + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "eos_token_id": [ + 128001, + 128008, + 128009 + ], + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 3072, + "initializer_range": 0.02, + "intermediate_size": 8192, + "max_position_embeddings": 131072, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 24, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": { + "factor": 32.0, + "high_freq_factor": 4.0, + "low_freq_factor": 1.0, + "original_max_position_embeddings": 8192, + "rope_type": "llama3" + }, + "rope_theta": 500000.0, + "tie_word_embeddings": true, + "torch_dtype": "bfloat16", + "transformers_version": "4.49.0", + "use_cache": false, + "vocab_size": 128256 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..a01c84e --- /dev/null +++ b/generation_config.json @@ -0,0 +1,12 @@ +{ + "bos_token_id": 128000, + "do_sample": true, + "eos_token_id": [ + 128001, + 128008, + 128009 + ], + "temperature": 0.6, + "top_p": 0.9, + "transformers_version": "4.49.0" +} diff --git a/model-00001-of-00002.safetensors 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custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- if strftime_now is defined %}\n {%- set date_string = strftime_now(\"%d %b %Y\") %}\n {%- else %}\n {%- set date_string = \"26 Jul 2024\" %}\n {%- endif %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {{- \"<|eot_id|>\" }}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n", + "clean_up_tokenization_spaces": true, + "eos_token": "<|eot_id|>", + "extra_special_tokens": {}, + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 131072, + "tokenizer_class": "PreTrainedTokenizer" +}