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Browse files- .gitattributes +1 -0
- FunctionGemmaANEUnifiedStateful.mlmodelc/analytics/coremldata.bin +3 -0
- FunctionGemmaANEUnifiedStateful.mlmodelc/coremldata.bin +3 -0
- FunctionGemmaANEUnifiedStateful.mlmodelc/model.mil +0 -0
- FunctionGemmaANEUnifiedStateful.mlmodelc/weights/weight.bin +3 -0
- README.md +118 -0
- chat_template.jinja +279 -0
- config.json +75 -0
- tokenizer.json +3 -0
- tokenizer_config.json +27 -0
.gitattributes
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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FunctionGemmaANEUnifiedStateful.mlmodelc/analytics/coremldata.bin
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FunctionGemmaANEUnifiedStateful.mlmodelc/coremldata.bin
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size 1853
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FunctionGemmaANEUnifiedStateful.mlmodelc/model.mil
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FunctionGemmaANEUnifiedStateful.mlmodelc/weights/weight.bin
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README.md
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@@ -0,0 +1,118 @@
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| 1 |
+
---
|
| 2 |
+
license: gemma
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
tags:
|
| 6 |
+
- function-calling
|
| 7 |
+
- tool-calling
|
| 8 |
+
- gemma3
|
| 9 |
+
- coreml
|
| 10 |
+
- ane
|
| 11 |
+
- on-device
|
| 12 |
+
base_model: google/functiongemma-270m-it
|
| 13 |
+
library_name: coreml
|
| 14 |
+
pipeline_tag: text-generation
|
| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
# FunctionGemma 270M — CoreML (fp16)
|
| 18 |
+
|
| 19 |
+
A Core ML export of [google/functiongemma-270m-it](https://huggingface.co/google/functiongemma-270m-it),
|
| 20 |
+
optimized for the Apple Neural Engine on iOS 18 / macOS 15. The 18-layer
|
| 21 |
+
transformer is reshaped into Apple's **BC1S layout** (`(B, C, 1, T)`
|
| 22 |
+
channel-last with 1×1 `Conv2d` projections and per-head split attention)
|
| 23 |
+
and the K/V cache lives in **`MLState`** slots, so token-by-token decode
|
| 24 |
+
sends no tensor I/O back to the host.
|
| 25 |
+
|
| 26 |
+
This is the **fp16 reference** build — full Float16 weights, no
|
| 27 |
+
quantization. For the same accuracy with ~½ the disk and faster decode,
|
| 28 |
+
see the
|
| 29 |
+
[Palettize-8 variant](https://huggingface.co/aufklarer/FunctionGemma-270M-CoreML-Palettize8).
|
| 30 |
+
|
| 31 |
+
## Model
|
| 32 |
+
|
| 33 |
+
| | |
|
| 34 |
+
|---|---|
|
| 35 |
+
| Parameters | 270M |
|
| 36 |
+
| Architecture | Gemma 3 (18 layers, 4 query heads, 1 KV head, head_dim 256, hidden 640, MLP 2048) |
|
| 37 |
+
| Quantization | none (Float16 weights, fp16 compute) |
|
| 38 |
+
| Format | Core ML `.mlmodelc` (ML Program) |
|
| 39 |
+
| Cache layout | BC1S `MLState`, fixed cache length 128 |
|
| 40 |
+
| Shapes | T_q ∈ {1, 128} via `EnumeratedShapes` |
|
| 41 |
+
| File size | 513 MB model + 33 MB tokenizer ≈ 546 MB total |
|
| 42 |
+
| Min target | **iOS 18 / macOS 15** |
|
| 43 |
+
| Compute units | `cpuAndNeuralEngine` (required — CPU-only emulation diverges) |
|
| 44 |
+
|
| 45 |
+
## Files
|
| 46 |
+
|
| 47 |
+
| File | Size | Description |
|
| 48 |
+
|---|---|---|
|
| 49 |
+
| `FunctionGemmaANEUnifiedStateful.mlmodelc/` | 513 MB | Compiled Core ML model. Load with `MLModel(contentsOf:)`. |
|
| 50 |
+
| `config.json` | ~2 KB | Architecture metadata (state names, input/output names, deployment target). |
|
| 51 |
+
| `chat_template.jinja` | ~1 KB | Jinja chat template used by `tokenizer.apply_chat_template`. |
|
| 52 |
+
| `tokenizer.json` | ~33 MB | Hugging Face `tokenizers` fast SentencePiece model. |
|
| 53 |
+
| `tokenizer_config.json` | ~1 KB | Tokenizer settings. |
|
| 54 |
+
|
| 55 |
+
## Performance
|
| 56 |
+
|
| 57 |
+
Measured on Apple M-series Mac via `cpuAndNeuralEngine`, on the canonical
|
| 58 |
+
"Convert 23 USD to EUR" tool-call prompt (91-token prompt → 31-token
|
| 59 |
+
function call), warmed.
|
| 60 |
+
|
| 61 |
+
| | Value |
|
| 62 |
+
|---|---|
|
| 63 |
+
| Prefill (128 tokens) | 8.5 ms |
|
| 64 |
+
| Decode | 5.65 ms/token (**177 tok/s**) |
|
| 65 |
+
| End-to-end (32 tokens) | ~185 ms |
|
| 66 |
+
| Swift peak RSS (warm) | **~37 MB** private + ~510 MB mmap'd from disk (evictable) |
|
| 67 |
+
| Compute-plan device | 96 %+ of ops prefer `neuralEngine` |
|
| 68 |
+
| Output | Byte-identical to PyTorch fp32 reference on the canonical prompt |
|
| 69 |
+
|
| 70 |
+
## Usage
|
| 71 |
+
|
| 72 |
+
### Swift (iOS 18 / macOS 15)
|
| 73 |
+
|
| 74 |
+
```swift
|
| 75 |
+
import CoreML
|
| 76 |
+
|
| 77 |
+
let url = URL(fileURLWithPath: "FunctionGemmaANEUnifiedStateful.mlmodelc")
|
| 78 |
+
let config = MLModelConfiguration()
|
| 79 |
+
config.computeUnits = .cpuAndNeuralEngine
|
| 80 |
+
let model = try MLModel(contentsOf: url, configuration: config)
|
| 81 |
+
let state = model.makeState()
|
| 82 |
+
|
| 83 |
+
// Build prefill inputs (input_ids, cos/sin tables, attention mask,
|
| 84 |
+
// write_mask=ones, logits_mask one-hot at the last prompt position),
|
| 85 |
+
// then for decode call repeatedly with T_q=1 inputs and a one-hot
|
| 86 |
+
// write_mask at the current cache slot.
|
| 87 |
+
let output = try await model.prediction(from: prefillInputs, using: state)
|
| 88 |
+
let logits = output.featureValue(for: "logits")!.multiArrayValue!
|
| 89 |
+
```
|
| 90 |
+
|
| 91 |
+
The full prefill + decode driver is published as part of the
|
| 92 |
+
[speech-swift](https://github.com/soniqo/speech-swift) SDK.
|
| 93 |
+
|
| 94 |
+
### Python (coremltools, macOS only)
|
| 95 |
+
|
| 96 |
+
```python
|
| 97 |
+
import coremltools as ct
|
| 98 |
+
import numpy as np
|
| 99 |
+
|
| 100 |
+
model = ct.models.MLModel(
|
| 101 |
+
"FunctionGemmaANEUnifiedStateful.mlpackage",
|
| 102 |
+
compute_units=ct.ComputeUnit.CPU_AND_NE,
|
| 103 |
+
)
|
| 104 |
+
state = model.make_state()
|
| 105 |
+
out = model.predict(prefill_inputs, state=state)
|
| 106 |
+
next_id = int(out["logits"][0].argmax())
|
| 107 |
+
```
|
| 108 |
+
|
| 109 |
+
## Source
|
| 110 |
+
|
| 111 |
+
Upstream model: **[google/functiongemma-270m-it](https://huggingface.co/google/functiongemma-270m-it)**
|
| 112 |
+
— Gemma 3 270M instruction-tuned for structured function calls.
|
| 113 |
+
|
| 114 |
+
## Links
|
| 115 |
+
|
| 116 |
+
- [speech-swift](https://github.com/soniqo/speech-swift) — Apple SDK
|
| 117 |
+
- [soniqo.audio](https://soniqo.audio) — website
|
| 118 |
+
- [blog](https://soniqo.audio/blog)
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,279 @@
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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'] | dictsort -%}
|
| 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 | dictsort -%}
|
| 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 sequence -%}
|
| 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 |
+
{#- Tool Declarations -#}
|
| 128 |
+
{%- set loop_messages = messages -%}
|
| 129 |
+
{%- if tools or messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
|
| 130 |
+
{{- '<start_of_turn>developer\n' -}}
|
| 131 |
+
{%- if messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
|
| 132 |
+
{%- if messages[0]['content'] is string -%}
|
| 133 |
+
{{- messages[0]['content'] | trim -}}
|
| 134 |
+
{%- elif messages[0]['content'] is sequence -%}
|
| 135 |
+
{%- for item in messages[0]['content'] -%}
|
| 136 |
+
{%- if item['type'] == 'text' -%}
|
| 137 |
+
{{- item['text'] | trim -}}
|
| 138 |
+
{%- endif -%}
|
| 139 |
+
{%- endfor -%}
|
| 140 |
+
{%- endif -%}
|
| 141 |
+
{%- set loop_messages = messages[1:] -%}
|
| 142 |
+
{%- endif -%}
|
| 143 |
+
{%- if tools -%}
|
| 144 |
+
{%- for tool in tools %}
|
| 145 |
+
{{- '<start_function_declaration>' -}}
|
| 146 |
+
{{- format_function_declaration(tool) | trim }}
|
| 147 |
+
{{- '<end_function_declaration>' -}}
|
| 148 |
+
{%- endfor %}
|
| 149 |
+
{%- endif -%}
|
| 150 |
+
{{- '<end_of_turn>\n' }}
|
| 151 |
+
{%- endif %}
|
| 152 |
+
{#- Loop through messages. -#}
|
| 153 |
+
{%- for message in loop_messages -%}
|
| 154 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 155 |
+
{#- Rename "assistant" to "model". -#}
|
| 156 |
+
{%- set role = "model" -%}
|
| 157 |
+
{%- else -%}
|
| 158 |
+
{%- set role = message['role'] -%}
|
| 159 |
+
{%- endif -%}
|
| 160 |
+
{%- if role != 'tool' -%}
|
| 161 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 162 |
+
{{- '<start_of_turn>' + role + '\n' }}
|
| 163 |
+
{%- endif -%}
|
| 164 |
+
{%- set ns.prev_message_type = None -%}
|
| 165 |
+
{%- if 'content' in message and message['content'] is not none -%}
|
| 166 |
+
{%- if message['content'] is string -%}
|
| 167 |
+
{{ message['content'] | trim }}
|
| 168 |
+
{%- elif message['content'] is sequence -%}
|
| 169 |
+
{%- for item in message['content'] -%}
|
| 170 |
+
{%- if item['type'] == 'image' -%}
|
| 171 |
+
{{ '<start_of_image>' }}
|
| 172 |
+
{%- elif item['type'] == 'text' -%}
|
| 173 |
+
{{ item['text'] | trim }}
|
| 174 |
+
{%- endif -%}
|
| 175 |
+
{%- endfor -%}
|
| 176 |
+
{%- else -%}
|
| 177 |
+
{{ raise_exception("Invalid content type in user/assistant message") }}
|
| 178 |
+
{%- endif -%}
|
| 179 |
+
{%- set ns.prev_message_type = 'content' -%}
|
| 180 |
+
{%- endif -%}
|
| 181 |
+
{%- if 'tool_calls' in message and message['tool_calls'] and message['tool_calls'] is iterable -%}
|
| 182 |
+
{#- Tool Calls -#}
|
| 183 |
+
{%- for tool_call in message['tool_calls'] -%}
|
| 184 |
+
{% set function = tool_call['function'] %}
|
| 185 |
+
{{- '<start_function_call>call:' + function['name'] + '{' -}}
|
| 186 |
+
{%- if 'arguments' in function -%}
|
| 187 |
+
{%- if function['arguments'] is mapping -%}
|
| 188 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 189 |
+
{%- for key, value in function['arguments'] | dictsort -%}
|
| 190 |
+
{%- if ns.found_first %},{% endif -%}
|
| 191 |
+
{%- set ns.found_first = true -%}
|
| 192 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 193 |
+
{%- endfor -%}
|
| 194 |
+
{%- elif function['arguments'] is string -%}
|
| 195 |
+
{# This handles string-JSON, just in case #}
|
| 196 |
+
{{ function['arguments'] }}
|
| 197 |
+
{%- endif %}
|
| 198 |
+
{%- endif -%}
|
| 199 |
+
{{- '}<end_function_call>' -}}
|
| 200 |
+
{%- endfor -%}
|
| 201 |
+
{%- if loop.last -%}
|
| 202 |
+
{{ '<start_function_response>' }}
|
| 203 |
+
{%- endif -%}
|
| 204 |
+
{%- set ns.prev_message_type = 'tool_call' -%}
|
| 205 |
+
{%- endif -%}
|
| 206 |
+
{%- else -%}
|
| 207 |
+
{#- Tool Responses -#}
|
| 208 |
+
{%- if 'content' in message and message['content'] -%}
|
| 209 |
+
{%- if message['content'] is mapping -%}
|
| 210 |
+
{%- if 'name' in message['content'] and 'response' in message['content'] -%}
|
| 211 |
+
{{ '<start_function_response>response:' + message['content']['name'] | trim + '{' }}
|
| 212 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 213 |
+
{%- for key, value in message['content']['response'] | dictsort -%}
|
| 214 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 215 |
+
{%- set response_ns.found_first = true -%}
|
| 216 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 217 |
+
{%- endfor -%}
|
| 218 |
+
{{- '}<end_function_response>' -}}
|
| 219 |
+
{%- elif 'name' in message -%}
|
| 220 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 221 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 222 |
+
{%- for key, value in message['content'] | dictsort -%}
|
| 223 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 224 |
+
{%- set response_ns.found_first = true -%}
|
| 225 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 226 |
+
{%- endfor -%}
|
| 227 |
+
{{- '}<end_function_response>' -}}
|
| 228 |
+
{%- else -%}
|
| 229 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 230 |
+
{%- endif -%}
|
| 231 |
+
{%- elif message['content'] is string -%}
|
| 232 |
+
{%- if 'name' in message -%}
|
| 233 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{value:' + format_argument(message['content'], escape_keys=False) + '}<end_function_response>' }}
|
| 234 |
+
{%- else -%}
|
| 235 |
+
{{ raise_exception("Invalid tool response: 'name' must be provided.") }}
|
| 236 |
+
{%- endif -%}
|
| 237 |
+
{%- elif message['content'] is sequence -%}
|
| 238 |
+
{%- for item in message['content'] -%}
|
| 239 |
+
{%- if item is mapping -%}
|
| 240 |
+
{%- if 'name' in item and 'response' in item -%}
|
| 241 |
+
{{ '<start_function_response>response:' + item['name'] | trim + '{' }}
|
| 242 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 243 |
+
{%- for key, value in item['response'] | dictsort -%}
|
| 244 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 245 |
+
{%- set response_ns.found_first = true -%}
|
| 246 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 247 |
+
{%- endfor -%}
|
| 248 |
+
{{- '}<end_function_response>' -}}
|
| 249 |
+
{%- elif 'name' in message -%}
|
| 250 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 251 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 252 |
+
{%- for key, value in item | dictsort -%}
|
| 253 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 254 |
+
{%- set response_ns.found_first = true -%}
|
| 255 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 256 |
+
{%- endfor -%}
|
| 257 |
+
{{- '}<end_function_response>' -}}
|
| 258 |
+
{%- else -%}
|
| 259 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 260 |
+
{%- endif -%}
|
| 261 |
+
{%- else -%}
|
| 262 |
+
{{ raise_exception("Invalid tool response message: multiple responses must all be mappings") }}
|
| 263 |
+
{%- endif -%}
|
| 264 |
+
{%- endfor -%}
|
| 265 |
+
{%- else -%}
|
| 266 |
+
{{ raise_exception("Invalid content type in tool message: must be mapping, sequence of mappings, or string.") }}
|
| 267 |
+
{%- endif -%}
|
| 268 |
+
{%- endif -%}
|
| 269 |
+
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 270 |
+
{%- endif -%}
|
| 271 |
+
{%- if ns.prev_message_type not in ['tool_call', 'tool_response'] -%}
|
| 272 |
+
{{ '<end_of_turn>\n' }}
|
| 273 |
+
{%- endif -%}
|
| 274 |
+
{%- endfor -%}
|
| 275 |
+
{%- if add_generation_prompt -%}
|
| 276 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 277 |
+
{{- '<start_of_turn>model\n' -}}
|
| 278 |
+
{%- endif -%}
|
| 279 |
+
{%- endif -%}
|
config.json
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"modelName": "functiongemma-270m-it",
|
| 3 |
+
"modelFamily": "functiongemma",
|
| 4 |
+
"format": "coreml-mlprogram",
|
| 5 |
+
"architecture": "ane_unified_state",
|
| 6 |
+
"source": "huggingface",
|
| 7 |
+
"hfRepo": "google/functiongemma-270m-it",
|
| 8 |
+
"tSpecs": [
|
| 9 |
+
1,
|
| 10 |
+
128
|
| 11 |
+
],
|
| 12 |
+
"cacheSeqLen": 128,
|
| 13 |
+
"numLayers": 18,
|
| 14 |
+
"numKvHeads": 1,
|
| 15 |
+
"headDim": 256,
|
| 16 |
+
"hiddenSize": 640,
|
| 17 |
+
"computePrecision": "float16",
|
| 18 |
+
"quantization": "none",
|
| 19 |
+
"computeUnits": "cpu_and_ne",
|
| 20 |
+
"stateNames": [
|
| 21 |
+
"k_cache_0",
|
| 22 |
+
"v_cache_0",
|
| 23 |
+
"k_cache_1",
|
| 24 |
+
"v_cache_1",
|
| 25 |
+
"k_cache_2",
|
| 26 |
+
"v_cache_2",
|
| 27 |
+
"k_cache_3",
|
| 28 |
+
"v_cache_3",
|
| 29 |
+
"k_cache_4",
|
| 30 |
+
"v_cache_4",
|
| 31 |
+
"k_cache_5",
|
| 32 |
+
"v_cache_5",
|
| 33 |
+
"k_cache_6",
|
| 34 |
+
"v_cache_6",
|
| 35 |
+
"k_cache_7",
|
| 36 |
+
"v_cache_7",
|
| 37 |
+
"k_cache_8",
|
| 38 |
+
"v_cache_8",
|
| 39 |
+
"k_cache_9",
|
| 40 |
+
"v_cache_9",
|
| 41 |
+
"k_cache_10",
|
| 42 |
+
"v_cache_10",
|
| 43 |
+
"k_cache_11",
|
| 44 |
+
"v_cache_11",
|
| 45 |
+
"k_cache_12",
|
| 46 |
+
"v_cache_12",
|
| 47 |
+
"k_cache_13",
|
| 48 |
+
"v_cache_13",
|
| 49 |
+
"k_cache_14",
|
| 50 |
+
"v_cache_14",
|
| 51 |
+
"k_cache_15",
|
| 52 |
+
"v_cache_15",
|
| 53 |
+
"k_cache_16",
|
| 54 |
+
"v_cache_16",
|
| 55 |
+
"k_cache_17",
|
| 56 |
+
"v_cache_17"
|
| 57 |
+
],
|
| 58 |
+
"requires": {
|
| 59 |
+
"minimumDeploymentTarget": "iOS 18 / macOS 15",
|
| 60 |
+
"feature": "ANE BC1S unified + MLState"
|
| 61 |
+
},
|
| 62 |
+
"inputs": [
|
| 63 |
+
"input_ids",
|
| 64 |
+
"cos_full",
|
| 65 |
+
"sin_full",
|
| 66 |
+
"cos_sliding",
|
| 67 |
+
"sin_sliding",
|
| 68 |
+
"write_mask",
|
| 69 |
+
"attention_mask",
|
| 70 |
+
"logits_mask"
|
| 71 |
+
],
|
| 72 |
+
"outputs": [
|
| 73 |
+
"logits"
|
| 74 |
+
]
|
| 75 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:80d7f800b949accd7eb940bac75e642f9468e4df157403032a55bf54ed23b650
|
| 3 |
+
size 33384898
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"boi_token": "<start_of_image>",
|
| 4 |
+
"bos_token": "<bos>",
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eoi_token": "<end_of_image>",
|
| 7 |
+
"eos_token": "<eos>",
|
| 8 |
+
"image_token": "<image_soft_token>",
|
| 9 |
+
"is_local": false,
|
| 10 |
+
"local_files_only": false,
|
| 11 |
+
"mask_token": "<mask>",
|
| 12 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 13 |
+
"model_specific_special_tokens": {
|
| 14 |
+
"boi_token": "<start_of_image>",
|
| 15 |
+
"eoi_token": "<end_of_image>",
|
| 16 |
+
"image_token": "<image_soft_token>",
|
| 17 |
+
"sfr_token": "<start_function_response>"
|
| 18 |
+
},
|
| 19 |
+
"pad_token": "<pad>",
|
| 20 |
+
"padding_side": "left",
|
| 21 |
+
"sfr_token": "<start_function_response>",
|
| 22 |
+
"sp_model_kwargs": null,
|
| 23 |
+
"spaces_between_special_tokens": false,
|
| 24 |
+
"tokenizer_class": "GemmaTokenizer",
|
| 25 |
+
"unk_token": "<unk>",
|
| 26 |
+
"use_default_system_prompt": false
|
| 27 |
+
}
|