Instructions to use acon96/Home-FunctionGemma-270m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use acon96/Home-FunctionGemma-270m with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="acon96/Home-FunctionGemma-270m", filename="Home-FunctionGemma-270m.bf16.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use acon96/Home-FunctionGemma-270m with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf acon96/Home-FunctionGemma-270m:BF16 # Run inference directly in the terminal: llama cli -hf acon96/Home-FunctionGemma-270m:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf acon96/Home-FunctionGemma-270m:BF16 # Run inference directly in the terminal: llama cli -hf acon96/Home-FunctionGemma-270m:BF16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf acon96/Home-FunctionGemma-270m:BF16 # Run inference directly in the terminal: ./llama-cli -hf acon96/Home-FunctionGemma-270m:BF16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf acon96/Home-FunctionGemma-270m:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf acon96/Home-FunctionGemma-270m:BF16
Use Docker
docker model run hf.co/acon96/Home-FunctionGemma-270m:BF16
- LM Studio
- Jan
- vLLM
How to use acon96/Home-FunctionGemma-270m with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "acon96/Home-FunctionGemma-270m" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "acon96/Home-FunctionGemma-270m", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/acon96/Home-FunctionGemma-270m:BF16
- Ollama
How to use acon96/Home-FunctionGemma-270m with Ollama:
ollama run hf.co/acon96/Home-FunctionGemma-270m:BF16
- Unsloth Studio
How to use acon96/Home-FunctionGemma-270m with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for acon96/Home-FunctionGemma-270m to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for acon96/Home-FunctionGemma-270m to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for acon96/Home-FunctionGemma-270m to start chatting
- Pi
How to use acon96/Home-FunctionGemma-270m with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf acon96/Home-FunctionGemma-270m:BF16
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "acon96/Home-FunctionGemma-270m:BF16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use acon96/Home-FunctionGemma-270m with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf acon96/Home-FunctionGemma-270m:BF16
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default acon96/Home-FunctionGemma-270m:BF16
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use acon96/Home-FunctionGemma-270m with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf acon96/Home-FunctionGemma-270m:BF16
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "acon96/Home-FunctionGemma-270m:BF16" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use acon96/Home-FunctionGemma-270m with Docker Model Runner:
docker model run hf.co/acon96/Home-FunctionGemma-270m:BF16
- Lemonade
How to use acon96/Home-FunctionGemma-270m with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull acon96/Home-FunctionGemma-270m:BF16
Run and chat with the model
lemonade run user.Home-FunctionGemma-270m-BF16
List all available models
lemonade list
Upload model
Browse files- .gitattributes +11 -0
- Home-FunctionGemma-270m.bf16.gguf +3 -0
- Home-FunctionGemma-270m.iq4_nl.gguf +3 -0
- Home-FunctionGemma-270m.iq4_xs.gguf +3 -0
- Home-FunctionGemma-270m.q3_k_m.gguf +3 -0
- Home-FunctionGemma-270m.q4_0.gguf +3 -0
- Home-FunctionGemma-270m.q4_1.gguf +3 -0
- Home-FunctionGemma-270m.q5_k_m.gguf +3 -0
- Home-FunctionGemma-270m.q6_k.gguf +3 -0
- Home-FunctionGemma-270m.q8_0.gguf +3 -0
- README.md +46 -0
- added_tokens.json +4 -0
- chat_template.jinja +290 -0
- config.json +54 -0
- generation_config.json +14 -0
- imatrix.gguf +3 -0
- model.safetensors +3 -0
- special_tokens_map.json +34 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
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README.md
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---
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| 2 |
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license: gemma
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base_model: google/functiongemma-270m-it
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datasets:
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- acon96/Home-Assistant-Requests-V2
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language:
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- en
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- de
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- es
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- fr
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tags:
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- automation
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- home
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- assistant
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pipeline_tag: text-generation
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---
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# Home-FunctionGemma-270m
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The "Home" model is a fine tuning of the FunctionGemma model from Google. The model is able to control devices in the user's house via the "Assist" API, as well as perform basic question answering about the provided home's state.
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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.
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## Training
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| 23 |
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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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### Datasets
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Home Assistant Requests V2 - https://huggingface.co/datasets/acon96/Home-Assistant-Requests-V2
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### Training hyperparameters
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| 29 |
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 32
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- total_eval_batch_size: 2
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| 40 |
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 59
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| 42 |
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- training_steps: 597
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## License
|
| 45 |
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The model is licensed under the Gemma license as it is a fine-tuning of the FunctionGemma model.
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added_tokens.json
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{
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"<end_of_image>": 262145,
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"<image_soft_token>": 262144
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}
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chat_template.jinja
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|
| 1 |
+
{%- macro format_parameters(properties, required) -%}
|
| 2 |
+
{%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
|
| 3 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 4 |
+
{%- for key, value in properties | dictsort -%}
|
| 5 |
+
{%- if key not in standard_keys -%}
|
| 6 |
+
{%- if ns.found_first %},{% endif -%}
|
| 7 |
+
{%- set ns.found_first = true -%}
|
| 8 |
+
{{- key }}:{description:<escape>{{ value['description'] }}<escape>
|
| 9 |
+
{%- if value['type'] | upper == 'STRING' -%}
|
| 10 |
+
{%- if value['enum'] -%}
|
| 11 |
+
,enum:{{ format_argument(value['enum']) }}
|
| 12 |
+
{%- endif -%}
|
| 13 |
+
{%- elif value['type'] | upper == 'OBJECT' -%}
|
| 14 |
+
,properties:{
|
| 15 |
+
{%- if value['properties'] is defined and value['properties'] is mapping -%}
|
| 16 |
+
{{- format_parameters(value['properties'], value['required'] | default([])) -}}
|
| 17 |
+
{%- elif value is mapping -%}
|
| 18 |
+
{{- format_parameters(value, value['required'] | default([])) -}}
|
| 19 |
+
{%- endif -%}
|
| 20 |
+
}
|
| 21 |
+
{%- if value['required'] -%}
|
| 22 |
+
,required:[
|
| 23 |
+
{%- for item in value['required'] | default([]) -%}
|
| 24 |
+
<escape>{{- item -}}<escape>
|
| 25 |
+
{%- if not loop.last %},{% endif -%}
|
| 26 |
+
{%- endfor -%}
|
| 27 |
+
]
|
| 28 |
+
{%- endif -%}
|
| 29 |
+
{%- elif value['type'] | upper == 'ARRAY' -%}
|
| 30 |
+
{%- if value['items'] is mapping and value['items'] -%}
|
| 31 |
+
,items:{
|
| 32 |
+
{%- set ns_items = namespace(found_first=false) -%}
|
| 33 |
+
{%- for item_key, item_value in value['items'].items() -%}
|
| 34 |
+
{%- if item_value is not none -%}
|
| 35 |
+
{%- if ns_items.found_first %},{% endif -%}
|
| 36 |
+
{%- set ns_items.found_first = true -%}
|
| 37 |
+
{%- if item_key == 'properties' -%}
|
| 38 |
+
properties:{
|
| 39 |
+
{%- if item_value is mapping -%}
|
| 40 |
+
{{- format_parameters(item_value, value['items']['required'] | default([])) -}}
|
| 41 |
+
{%- endif -%}
|
| 42 |
+
}
|
| 43 |
+
{%- elif item_key == 'required' -%}
|
| 44 |
+
required:[
|
| 45 |
+
{%- for req_item in item_value -%}
|
| 46 |
+
<escape>{{- req_item -}}<escape>
|
| 47 |
+
{%- if not loop.last %},{% endif -%}
|
| 48 |
+
{%- endfor -%}
|
| 49 |
+
]
|
| 50 |
+
{%- elif item_key == 'type' -%}
|
| 51 |
+
{%- if item_value is string -%}
|
| 52 |
+
type:{{ format_argument(item_value | upper) }}
|
| 53 |
+
{%- else -%}
|
| 54 |
+
type:{{ format_argument(item_value | map('upper') | list) }}
|
| 55 |
+
{%- endif -%}
|
| 56 |
+
{%- else -%}
|
| 57 |
+
{{ item_key }}:{{ format_argument(item_value) }}
|
| 58 |
+
{%- endif -%}
|
| 59 |
+
{%- endif -%}
|
| 60 |
+
{%- endfor -%}
|
| 61 |
+
}
|
| 62 |
+
{%- endif -%}
|
| 63 |
+
{%- endif -%}
|
| 64 |
+
,type:<escape>{{ value['type'] | upper }}<escape>}
|
| 65 |
+
{%- endif -%}
|
| 66 |
+
{%- endfor -%}
|
| 67 |
+
{%- endmacro -%}
|
| 68 |
+
{% macro format_function_declaration(tool_data) -%}
|
| 69 |
+
declaration:{{- tool_data['function']['name'] -}}
|
| 70 |
+
{description:<escape>{{- tool_data['function']['description'] -}}<escape>
|
| 71 |
+
{%- set params = tool_data['function']['parameters'] -%}
|
| 72 |
+
{%- if params -%}
|
| 73 |
+
,parameters:{
|
| 74 |
+
{%- if params['properties'] -%}
|
| 75 |
+
properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
|
| 76 |
+
{%- endif -%}
|
| 77 |
+
{%- if params['required'] -%}
|
| 78 |
+
required:[
|
| 79 |
+
{%- for item in params['required'] -%}
|
| 80 |
+
<escape>{{- item -}}<escape>
|
| 81 |
+
{{- ',' if not loop.last -}}
|
| 82 |
+
{%- endfor -%}
|
| 83 |
+
],
|
| 84 |
+
{%- endif -%}
|
| 85 |
+
{%- if params['type'] -%}
|
| 86 |
+
type:<escape>{{- params['type'] | upper -}}<escape>}
|
| 87 |
+
{%- endif -%}
|
| 88 |
+
{%- endif -%}
|
| 89 |
+
}
|
| 90 |
+
{%- endmacro -%}
|
| 91 |
+
{% macro format_argument(argument, escape_keys=True) -%}
|
| 92 |
+
{%- if argument is string -%}
|
| 93 |
+
{{- '<escape>' + argument + '<escape>' -}}
|
| 94 |
+
{%- elif argument is boolean -%}
|
| 95 |
+
{%- if argument -%}
|
| 96 |
+
{{- 'true' -}}
|
| 97 |
+
{%- else -%}
|
| 98 |
+
{{- 'false' -}}
|
| 99 |
+
{%- endif -%}
|
| 100 |
+
{%- elif argument is mapping -%}
|
| 101 |
+
{{- '{' -}}
|
| 102 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 103 |
+
{%- for key, value in argument.items() -%}
|
| 104 |
+
{%- if ns.found_first %},{% endif -%}
|
| 105 |
+
{%- set ns.found_first = true -%}
|
| 106 |
+
{%- if escape_keys -%}
|
| 107 |
+
{{- '<escape>' + key + '<escape>' -}}
|
| 108 |
+
{%- else -%}
|
| 109 |
+
{{- key -}}
|
| 110 |
+
{%- endif -%}
|
| 111 |
+
:{{- format_argument(value, escape_keys=escape_keys) -}}
|
| 112 |
+
{%- endfor -%}
|
| 113 |
+
{{- '}' -}}
|
| 114 |
+
{%- elif argument is iterable -%}
|
| 115 |
+
{{- '[' -}}
|
| 116 |
+
{%- for item in argument -%}
|
| 117 |
+
{{- format_argument(item, escape_keys=escape_keys) -}}
|
| 118 |
+
{%- if not loop.last %},{% endif -%}
|
| 119 |
+
{%- endfor -%}
|
| 120 |
+
{{- ']' -}}
|
| 121 |
+
{%- else -%}
|
| 122 |
+
{{- argument -}}
|
| 123 |
+
{%- endif -%}
|
| 124 |
+
{%- endmacro -%}
|
| 125 |
+
{{ bos_token }}
|
| 126 |
+
{%- set ns = namespace(prev_message_type=None) -%}
|
| 127 |
+
{#- extract system prompt for merging with user role -#}
|
| 128 |
+
{%- set loop_messages = messages -%}
|
| 129 |
+
{%- set system_message_content = '' %}
|
| 130 |
+
{%- if messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
|
| 131 |
+
{%- set system_message_content = messages[0]['content'] -%}
|
| 132 |
+
{%- set loop_messages = messages[1:] -%}
|
| 133 |
+
{%- endif -%}
|
| 134 |
+
{#- 'static' system prompt. -#}
|
| 135 |
+
{%- if tools -%}
|
| 136 |
+
{{- '<start_of_turn>developer\nYou are a model that can do function calling with the following functions' -}}
|
| 137 |
+
{%- for tool in tools %}
|
| 138 |
+
{{- '<start_function_declaration>' -}}
|
| 139 |
+
{{- format_function_declaration(tool) | trim }}
|
| 140 |
+
{{- '<end_function_declaration>' -}}
|
| 141 |
+
{%- endfor %}
|
| 142 |
+
{{- '<end_of_turn>\n' -}}
|
| 143 |
+
{%- else -%}
|
| 144 |
+
{{- '<start_of_turn>developer\nNo tools have been provided. Only respond with answers that do not require tool usage.<end_of_turn>\n' -}}
|
| 145 |
+
{%- endif -%}
|
| 146 |
+
{#- Loop through messages. -#}
|
| 147 |
+
{%- for message in loop_messages -%}
|
| 148 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 149 |
+
{#- Rename "assistant" to "model". -#}
|
| 150 |
+
{%- set role = "model" -%}
|
| 151 |
+
{%- else -%}
|
| 152 |
+
{%- set role = message['role'] -%}
|
| 153 |
+
{%- endif -%}
|
| 154 |
+
{%- if role != 'tool' -%}
|
| 155 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 156 |
+
{{- '<start_of_turn>' + role + '\n' }}
|
| 157 |
+
{%- endif -%}
|
| 158 |
+
{%- set ns.prev_message_type = None -%}
|
| 159 |
+
{%- if loop.first and system_message_content -%}
|
| 160 |
+
{%- if system_message_content is string -%}
|
| 161 |
+
{{ system_message_content | trim }}
|
| 162 |
+
{%- elif system_message_content is iterable -%}
|
| 163 |
+
{%- for item in system_message_content -%}
|
| 164 |
+
{%- if item['type'] == 'image' -%}
|
| 165 |
+
{{ raise_exception("Invalid content type 'image' in system message") }}
|
| 166 |
+
{%- elif item['type'] == 'text' -%}
|
| 167 |
+
{{ item['text'] | trim }}
|
| 168 |
+
{%- endif -%}
|
| 169 |
+
{%- endfor -%}
|
| 170 |
+
{%- else -%}
|
| 171 |
+
{{ raise_exception("Invalid content type in system message") }}
|
| 172 |
+
{%- endif -%}
|
| 173 |
+
{{- '\n' -}}
|
| 174 |
+
{%- endif -%}
|
| 175 |
+
{#- User/Assistant Messages -#}
|
| 176 |
+
{%- if 'content' in message and message['content'] is not none -%}
|
| 177 |
+
{%- if message['content'] is string -%}
|
| 178 |
+
{{ message['content'] | trim }}
|
| 179 |
+
{%- elif message['content'] is iterable -%}
|
| 180 |
+
{%- for item in message['content'] -%}
|
| 181 |
+
{%- if item['type'] == 'image' -%}
|
| 182 |
+
{{ '<start_of_image>' }}
|
| 183 |
+
{%- elif item['type'] == 'text' -%}
|
| 184 |
+
{{ item['text'] | trim }}
|
| 185 |
+
{%- endif -%}
|
| 186 |
+
{%- endfor -%}
|
| 187 |
+
{%- else -%}
|
| 188 |
+
{{ raise_exception("Invalid content type in user/assistant message") }}
|
| 189 |
+
{%- endif -%}
|
| 190 |
+
{%- set ns.prev_message_type = 'content' -%}
|
| 191 |
+
{%- endif -%}
|
| 192 |
+
{%- if 'tool_calls' in message and message['tool_calls'] and message['tool_calls'] is iterable -%}
|
| 193 |
+
{#- Tool Calls -#}
|
| 194 |
+
{%- for tool_call in message['tool_calls'] -%}
|
| 195 |
+
{% set function = tool_call['function'] %}
|
| 196 |
+
{{- '<start_function_call>call:' + function['name'] + '{' -}}
|
| 197 |
+
{%- if 'arguments' in function -%}
|
| 198 |
+
{%- if function['arguments'] is mapping -%}
|
| 199 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 200 |
+
{%- for key, value in function['arguments'] | dictsort -%}
|
| 201 |
+
{%- if ns.found_first %},{% endif -%}
|
| 202 |
+
{%- set ns.found_first = true -%}
|
| 203 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 204 |
+
{%- endfor -%}
|
| 205 |
+
{%- elif function['arguments'] is string -%}
|
| 206 |
+
{# This handles string-JSON, just in case #}
|
| 207 |
+
{{ function['arguments'] }}
|
| 208 |
+
{%- endif %}
|
| 209 |
+
{%- endif -%}
|
| 210 |
+
{{- '}<end_function_call>' -}}
|
| 211 |
+
{%- endfor -%}
|
| 212 |
+
{%- if loop.last -%}
|
| 213 |
+
{{ '<start_function_response>' }}
|
| 214 |
+
{%- endif -%}
|
| 215 |
+
{%- set ns.prev_message_type = 'tool_call' -%}
|
| 216 |
+
{%- endif -%}
|
| 217 |
+
{%- else -%}
|
| 218 |
+
{#- Tool Responses -#}
|
| 219 |
+
{%- if 'content' in message and message['content'] -%}
|
| 220 |
+
{%- if message['content'] is mapping -%}
|
| 221 |
+
{%- if 'name' in message['content'] and 'response' in message['content'] -%}
|
| 222 |
+
{{ '<start_function_response>response:' + message['content']['name'] | trim + '{' }}
|
| 223 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 224 |
+
{%- for key, value in message['content']['response'] | dictsort -%}
|
| 225 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 226 |
+
{%- set response_ns.found_first = true -%}
|
| 227 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 228 |
+
{%- endfor -%}
|
| 229 |
+
{{- '}<end_function_response>' -}}
|
| 230 |
+
{%- elif 'name' in message -%}
|
| 231 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 232 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 233 |
+
{%- for key, value in message['content'].items() -%}
|
| 234 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 235 |
+
{%- set response_ns.found_first = true -%}
|
| 236 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 237 |
+
{%- endfor -%}
|
| 238 |
+
{{- '}<end_function_response>' -}}
|
| 239 |
+
{%- else -%}
|
| 240 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 241 |
+
{%- endif -%}
|
| 242 |
+
{%- elif message['content'] is string -%}
|
| 243 |
+
{%- if 'name' in message -%}
|
| 244 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{value:' + format_argument(message['content'], escape_keys=False) + '}<end_function_response>' }}
|
| 245 |
+
{%- else -%}
|
| 246 |
+
{{ raise_exception("Invalid tool response: 'name' must be provided.") }}
|
| 247 |
+
{%- endif -%}
|
| 248 |
+
{%- elif message['content'] is iterable -%}
|
| 249 |
+
{%- for item in message['content'] -%}
|
| 250 |
+
{%- if item is mapping -%}
|
| 251 |
+
{%- if 'name' in item and 'response' in item -%}
|
| 252 |
+
{{ '<start_function_response>response:' + item['name'] | trim + '{' }}
|
| 253 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 254 |
+
{%- for key, value in item['response'].items() -%}
|
| 255 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 256 |
+
{%- set response_ns.found_first = true -%}
|
| 257 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 258 |
+
{%- endfor -%}
|
| 259 |
+
{{- '}<end_function_response>' -}}
|
| 260 |
+
{%- elif 'name' in message -%}
|
| 261 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 262 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 263 |
+
{%- for key, value in item.items() -%}
|
| 264 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 265 |
+
{%- set response_ns.found_first = true -%}
|
| 266 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 267 |
+
{%- endfor -%}
|
| 268 |
+
{{- '}<end_function_response>' -}}
|
| 269 |
+
{%- else -%}
|
| 270 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 271 |
+
{%- endif -%}
|
| 272 |
+
{%- else -%}
|
| 273 |
+
{{ raise_exception("Invalid tool response message: multiple responses must all be mappings") }}
|
| 274 |
+
{%- endif -%}
|
| 275 |
+
{%- endfor -%}
|
| 276 |
+
{%- else -%}
|
| 277 |
+
{{ raise_exception("Invalid content type in tool message: must be mapping, iterable of mappings, or string.") }}
|
| 278 |
+
{%- endif -%}
|
| 279 |
+
{%- endif -%}
|
| 280 |
+
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 281 |
+
{%- endif -%}
|
| 282 |
+
{%- if ns.prev_message_type not in ['tool_call', 'tool_response'] -%}
|
| 283 |
+
{{ '<end_of_turn>\n' }}
|
| 284 |
+
{%- endif -%}
|
| 285 |
+
{%- endfor -%}
|
| 286 |
+
{%- if add_generation_prompt -%}
|
| 287 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 288 |
+
{{- '<start_of_turn>model\n' -}}
|
| 289 |
+
{%- endif -%}
|
| 290 |
+
{%- endif -%}
|
config.json
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_sliding_window_pattern": 6,
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Gemma3ForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"attn_logit_softcapping": null,
|
| 9 |
+
"bos_token_id": 2,
|
| 10 |
+
"dtype": "bfloat16",
|
| 11 |
+
"eos_token_id": 106,
|
| 12 |
+
"final_logit_softcapping": null,
|
| 13 |
+
"head_dim": 256,
|
| 14 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
| 15 |
+
"hidden_size": 640,
|
| 16 |
+
"initializer_range": 0.02,
|
| 17 |
+
"intermediate_size": 2048,
|
| 18 |
+
"layer_types": [
|
| 19 |
+
"sliding_attention",
|
| 20 |
+
"sliding_attention",
|
| 21 |
+
"sliding_attention",
|
| 22 |
+
"sliding_attention",
|
| 23 |
+
"sliding_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"sliding_attention",
|
| 26 |
+
"sliding_attention",
|
| 27 |
+
"sliding_attention",
|
| 28 |
+
"sliding_attention",
|
| 29 |
+
"sliding_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"sliding_attention",
|
| 32 |
+
"sliding_attention",
|
| 33 |
+
"sliding_attention",
|
| 34 |
+
"sliding_attention",
|
| 35 |
+
"sliding_attention",
|
| 36 |
+
"full_attention"
|
| 37 |
+
],
|
| 38 |
+
"max_position_embeddings": 32768,
|
| 39 |
+
"model_type": "gemma3_text",
|
| 40 |
+
"num_attention_heads": 4,
|
| 41 |
+
"num_hidden_layers": 18,
|
| 42 |
+
"num_key_value_heads": 1,
|
| 43 |
+
"pad_token_id": 0,
|
| 44 |
+
"query_pre_attn_scalar": 256,
|
| 45 |
+
"rms_norm_eps": 1e-06,
|
| 46 |
+
"rope_local_base_freq": 10000.0,
|
| 47 |
+
"rope_scaling": null,
|
| 48 |
+
"rope_theta": 1000000.0,
|
| 49 |
+
"sliding_window": 512,
|
| 50 |
+
"transformers_version": "4.57.1",
|
| 51 |
+
"use_bidirectional_attention": false,
|
| 52 |
+
"use_cache": false,
|
| 53 |
+
"vocab_size": 262146
|
| 54 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 2,
|
| 3 |
+
"cache_implementation": "hybrid",
|
| 4 |
+
"do_sample": true,
|
| 5 |
+
"eos_token_id": [
|
| 6 |
+
1,
|
| 7 |
+
50,
|
| 8 |
+
106
|
| 9 |
+
],
|
| 10 |
+
"pad_token_id": 0,
|
| 11 |
+
"top_k": 64,
|
| 12 |
+
"top_p": 0.95,
|
| 13 |
+
"transformers_version": "4.57.1"
|
| 14 |
+
}
|
imatrix.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf2d7b0ab8a931ab8444152850099acedc8bd3b6f4ea592f0f8069fcc96d0df5
|
| 3 |
+
size 471008
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a4183596bcb1747d52c3aa55861d07324afd58c6791a6d135f85c4ec5459262
|
| 3 |
+
size 536225616
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"boi_token": "<start_of_image>",
|
| 3 |
+
"bos_token": {
|
| 4 |
+
"content": "<bos>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
"eoi_token": "<end_of_image>",
|
| 11 |
+
"eos_token": {
|
| 12 |
+
"content": "<end_of_turn>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false
|
| 17 |
+
},
|
| 18 |
+
"image_token": "<image_soft_token>",
|
| 19 |
+
"pad_token": {
|
| 20 |
+
"content": "<pad>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
},
|
| 26 |
+
"sfr_token": "<start_function_response>",
|
| 27 |
+
"unk_token": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false
|
| 33 |
+
}
|
| 34 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b6b09a0b4a803ad453063ca4bb49a784540e8120004e2450e025df2b27d41fb2
|
| 3 |
+
size 33384899
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa009fcbc3589a9904d30d04834094fea4653c2ac6d2de2cd1262d4f7a50ceb3
|
| 3 |
+
size 4689144
|
tokenizer_config.json
ADDED
|
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|
|
|