hanemay commited on
Commit
43acfec
·
verified ·
1 Parent(s): 7d3e587

Upload merged bf16 checkpoint + patched chat template + int4 .litertlm (test run)

Browse files
.gitattributes CHANGED
@@ -34,3 +34,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
  coach.litertlm filter=lfs diff=lfs merge=lfs -text
 
 
 
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
  coach.litertlm filter=lfs diff=lfs merge=lfs -text
37
+ coach-finetuned-int4.litertlm filter=lfs diff=lfs merge=lfs -text
38
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,52 @@
1
  ---
2
- license: gemma
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ license: cc0-1.0
3
+ base_model: google/gemma-4-E2B-it
4
+ tags:
5
+ - lora
6
+ - fine-tune
7
+ - litert-lm
8
+ - on-device
9
+ - fitness
10
  ---
11
+
12
+ # SmartSight Coach LoRA fine-tune (test run)
13
+
14
+ LoRA fine-tune of `google/gemma-4-E2B-it`, merged to bf16, trained on a
15
+ combined dataset of general fitness Q&A (~3.8k pairs) and structured
16
+ workout-routine-generation pairs (~450 pairs) synthesized to match a specific
17
+ app's routine-generation prompt/output contract.
18
+
19
+ **This is a test run** for the end-to-end pipeline (train → merge → convert to
20
+ `.litertlm` for on-device Android inference), not a final/polished release.
21
+ Future rounds are planned to add nutrition data and periodically refresh the
22
+ training data.
23
+
24
+ ## Contents
25
+
26
+ - `config.json`, `model.safetensors`, `tokenizer.json`, `tokenizer_config.json`,
27
+ `generation_config.json` — standard HF-format merged bf16 checkpoint.
28
+ - `chat_template.jinja` — **note**: this is a *patched* version of the
29
+ checkpoint's original chat template. The original (as merged by
30
+ `unsloth`/`peft`/`trl`) uses `dict.get(...)` at ~23 call sites, which
31
+ [LiteRT-LM's minijinja-based template engine does not support](https://github.com/google-ai-edge/LiteRT-LM)
32
+ (fails with `unknown method: map has no method named get`). This version
33
+ rewrites every `X.get('k')` → `X['k'] | default(none)` (and iteration sites
34
+ to `| default([])`) to be minijinja-compatible while preserving identical
35
+ template logic — verified via `strings <output>.litertlm | grep -c '.get('`
36
+ → 0 after conversion. Standard `transformers`/Jinja2 usage doesn't need this
37
+ fix (`.get()` works fine there); it only matters if you're converting to
38
+ `.litertlm` yourself.
39
+ - `coach-finetuned-int4.litertlm` — the converted on-device model, produced via
40
+ `litert-torch export_hf` with `--quantization_recipe=dynamic_wi4_afp32
41
+ --jinja_chat_template_override=<patched template above>`. ~2.38GiB.
42
+
43
+ ## Known limitations
44
+
45
+ - Uses plain uniform int4 quantization (`dynamic_wi4_afp32`), not a
46
+ mixed-precision recipe — Google's Gemma-4-specific `gemma4_mixed48` preset
47
+ (int4 on FC layers, int8 kept on embeddings) is currently broken in the
48
+ `ai_edge_quantizer` library used for this conversion
49
+ (`TypeError: string indices must be integers, not 'str'` in
50
+ `recipe_manager.py`), so quality may be slightly behind what mixed-precision
51
+ would give.
52
+ - On-device evaluation against held-out prompts is still in progress.
chat_template.jinja ADDED
@@ -0,0 +1,385 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- macro format_parameters(properties, required, filter_keys=false) -%}
2
+ {%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
3
+ {%- set ns = namespace(found_first=false) -%}
4
+ {%- for key, value in properties | dictsort -%}
5
+ {%- set add_comma = false -%}
6
+ {%- if not filter_keys or key not in standard_keys -%}
7
+ {%- if ns.found_first %},{% endif -%}
8
+ {%- set ns.found_first = true -%}
9
+ {{ key }}:{
10
+ {%- if value['description'] -%}
11
+ description:<|"|>{{ value['description'] }}<|"|>
12
+ {%- set add_comma = true -%}
13
+ {%- endif -%}
14
+ {%- if value['type'] | upper == 'STRING' -%}
15
+ {%- if value['enum'] -%}
16
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
17
+ enum:{{ format_argument(value['enum']) }}
18
+ {%- endif -%}
19
+ {%- elif value['type'] | upper == 'ARRAY' -%}
20
+ {%- if value['items'] is mapping and value['items'] -%}
21
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
22
+ items:{
23
+ {%- set ns_items = namespace(found_first=false) -%}
24
+ {%- for item_key, item_value in value['items'] | dictsort -%}
25
+ {%- if item_value is not none -%}
26
+ {%- if ns_items.found_first %},{% endif -%}
27
+ {%- set ns_items.found_first = true -%}
28
+ {%- if item_key == 'properties' -%}
29
+ properties:{
30
+ {%- if item_value is mapping -%}
31
+ {{- format_parameters(item_value, value['items']['required'] | default([])) -}}
32
+ {%- endif -%}
33
+ }
34
+ {%- elif item_key == 'required' -%}
35
+ required:[
36
+ {%- for req_item in item_value -%}
37
+ <|"|>{{- req_item -}}<|"|>
38
+ {%- if not loop.last %},{% endif -%}
39
+ {%- endfor -%}
40
+ ]
41
+ {%- elif item_key == 'type' -%}
42
+ {%- if item_value is string -%}
43
+ type:{{ format_argument(item_value | upper) }}
44
+ {%- else -%}
45
+ type:{{ format_argument(item_value | map('upper') | list) }}
46
+ {%- endif -%}
47
+ {%- else -%}
48
+ {{ item_key }}:{{ format_argument(item_value) }}
49
+ {%- endif -%}
50
+ {%- endif -%}
51
+ {%- endfor -%}
52
+ }
53
+ {%- endif -%}
54
+ {%- endif -%}
55
+ {%- if value['nullable'] %}
56
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
57
+ nullable:true
58
+ {%- endif -%}
59
+ {%- if value['type'] | upper == 'OBJECT' -%}
60
+ {%- if value['properties'] is defined and value['properties'] is mapping -%}
61
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
62
+ properties:{
63
+ {{- format_parameters(value['properties'], value['required'] | default([])) -}}
64
+ }
65
+ {%- elif value is mapping -%}
66
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
67
+ properties:{
68
+ {{- format_parameters(value, value['required'] | default([]), filter_keys=true) -}}
69
+ }
70
+ {%- endif -%}
71
+ {%- if value['required'] -%}
72
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
73
+ required:[
74
+ {%- for item in value['required'] | default([]) -%}
75
+ <|"|>{{- item -}}<|"|>
76
+ {%- if not loop.last %},{% endif -%}
77
+ {%- endfor -%}
78
+ ]
79
+ {%- endif -%}
80
+ {%- endif -%}
81
+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
82
+ type:<|"|>{{ value['type'] | upper }}<|"|>}
83
+ {%- endif -%}
84
+ {%- endfor -%}
85
+ {%- endmacro -%}
86
+ {%- macro format_function_declaration(tool_data) -%}
87
+ declaration:{{- tool_data['function']['name'] -}}{description:<|"|>{{- tool_data['function']['description'] -}}<|"|>
88
+ {%- set params = tool_data['function']['parameters'] -%}
89
+ {%- if params -%}
90
+ ,parameters:{
91
+ {%- if params['properties'] -%}
92
+ properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
93
+ {%- endif -%}
94
+ {%- if params['required'] -%}
95
+ required:[
96
+ {%- for item in params['required'] -%}
97
+ <|"|>{{- item -}}<|"|>
98
+ {{- ',' if not loop.last -}}
99
+ {%- endfor -%}
100
+ ],
101
+ {%- endif -%}
102
+ {%- if params['type'] -%}
103
+ type:<|"|>{{- params['type'] | upper -}}<|"|>}
104
+ {%- endif -%}
105
+ {%- endif -%}
106
+ {%- if 'response' in tool_data['function'] -%}
107
+ {%- set response_declaration = tool_data['function']['response'] -%}
108
+ ,response:{
109
+ {%- if response_declaration['description'] -%}
110
+ description:<|"|>{{- response_declaration['description'] -}}<|"|>,
111
+ {%- endif -%}
112
+ {%- if response_declaration['type'] | upper == 'OBJECT' -%}
113
+ type:<|"|>{{- response_declaration['type'] | upper -}}<|"|>}
114
+ {%- endif -%}
115
+ {%- endif -%}
116
+ }
117
+ {%- endmacro -%}
118
+ {%- macro format_argument(argument, escape_keys=True) -%}
119
+ {%- if argument is none -%}
120
+ {{- 'null' -}}
121
+ {%- elif argument is string -%}
122
+ {{- '<|"|>' + argument + '<|"|>' -}}
123
+ {%- elif argument is boolean -%}
124
+ {{- 'true' if argument else 'false' -}}
125
+ {%- elif argument is mapping -%}
126
+ {{- '{' -}}
127
+ {%- set ns = namespace(found_first=false) -%}
128
+ {%- for key, value in argument | dictsort -%}
129
+ {%- if ns.found_first %},{% endif -%}
130
+ {%- set ns.found_first = true -%}
131
+ {%- if escape_keys -%}
132
+ {{- '<|"|>' + key + '<|"|>' -}}
133
+ {%- else -%}
134
+ {{- key -}}
135
+ {%- endif -%}
136
+ :{{- format_argument(value, escape_keys=escape_keys) -}}
137
+ {%- endfor -%}
138
+ {{- '}' -}}
139
+ {%- elif argument is sequence -%}
140
+ {{- '[' -}}
141
+ {%- for item in argument -%}
142
+ {{- format_argument(item, escape_keys=escape_keys) -}}
143
+ {%- if not loop.last %},{% endif -%}
144
+ {%- endfor -%}
145
+ {{- ']' -}}
146
+ {%- else -%}
147
+ {{- argument -}}
148
+ {%- endif -%}
149
+ {%- endmacro -%}
150
+ {%- macro strip_thinking(text) -%}
151
+ {%- set ns = namespace(result='') -%}
152
+ {%- for part in text.split('<channel|>') -%}
153
+ {%- if '<|channel>' in part -%}
154
+ {%- set ns.result = ns.result + part.split('<|channel>')[0] -%}
155
+ {%- else -%}
156
+ {%- set ns.result = ns.result + part -%}
157
+ {%- endif -%}
158
+ {%- endfor -%}
159
+ {{- ns.result | trim -}}
160
+ {%- endmacro -%}
161
+
162
+ {%- macro format_tool_response_block(tool_name, response) -%}
163
+ {{- '<|tool_response>' -}}
164
+ {%- if response is mapping -%}
165
+ {{- 'response:' + tool_name + '{' -}}
166
+ {%- for key, value in response | dictsort -%}
167
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
168
+ {%- if not loop.last %},{% endif -%}
169
+ {%- endfor -%}
170
+ {{- '}' -}}
171
+ {%- else -%}
172
+ {{- 'response:' + tool_name + '{value:' + format_argument(response, escape_keys=False) + '}' -}}
173
+ {%- endif -%}
174
+ {{- '<tool_response|>' -}}
175
+ {%- endmacro -%}
176
+
177
+ {#- ===== SETUP ===== -#}
178
+ {%- set ns = namespace(prev_message_type=None, prev_non_tool_role=None) -%}
179
+ {%- set loop_messages = messages -%}
180
+ {%- set enable_thinking = enable_thinking | default(false) -%}
181
+ {%- set preserve_thinking = preserve_thinking | default(false) -%}
182
+ {{- bos_token -}}
183
+ {#- Handle System/Tool Definitions Block -#}
184
+ {%- if enable_thinking or tools or (messages and messages[0]['role'] in ['system', 'developer']) -%}
185
+ {{- '<|turn>system\n' -}}
186
+ {#- Inject Thinking token at the very top of the FIRST system turn -#}
187
+ {%- if enable_thinking -%}
188
+ {{- '<|think|>\n' -}}
189
+ {%- set ns.prev_message_type = 'think' -%}
190
+ {%- endif -%}
191
+ {%- if messages and messages[0]['role'] in ['system', 'developer'] -%}
192
+ {%- if messages[0]['content'] is string -%}
193
+ {{- messages[0]['content'] | trim -}}
194
+ {%- elif messages[0]['content'] is sequence -%}
195
+ {%- for item in messages[0]['content'] -%}
196
+ {{- item['text'] | trim + ' '-}}
197
+ {%- endfor -%}
198
+ {%- endif -%}
199
+ {%- set loop_messages = messages[1:] -%}
200
+ {%- endif -%}
201
+ {%- if tools -%}
202
+ {%- for tool in tools %}
203
+ {{- '<|tool>' -}}
204
+ {{- format_function_declaration(tool) | trim -}}
205
+ {{- '<tool|>' -}}
206
+ {%- endfor %}
207
+ {%- set ns.prev_message_type = 'tool' -%}
208
+ {%- endif -%}
209
+ {{- '<turn|>\n' -}}
210
+ {%- endif %}
211
+
212
+ {#- Pre-scan: find last user message index for reasoning guard -#}
213
+ {%- set ns_turn = namespace(last_user_idx=-1) -%}
214
+ {%- for i in range(loop_messages | length) -%}
215
+ {%- if loop_messages[i]['role'] == 'user' -%}
216
+ {%- set ns_turn.last_user_idx = i -%}
217
+ {%- endif -%}
218
+ {%- endfor -%}
219
+
220
+ {#- Loop through messages -#}
221
+ {%- for message in loop_messages -%}
222
+ {%- if message['role'] != 'tool' -%}
223
+ {%- set ns.prev_message_type = None -%}
224
+ {%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
225
+ {#- Detect continuation using tracked state — O(1) instead of O(n) backward scan -#}
226
+ {%- set continue_same_model_turn = (role == 'model' and ns.prev_non_tool_role == 'assistant') -%}
227
+ {%- if not continue_same_model_turn -%}
228
+ {{- '<|turn>' + role + '\n' }}
229
+ {%- endif -%}
230
+
231
+ {#- Render reasoning/reasoning_content as thinking channel -#}
232
+ {%- set thinking_text = (message['reasoning'] | default(none)) or (message['reasoning_content'] | default(none)) -%}
233
+ {%- set thinking_gate = (loop.index0 > ns_turn.last_user_idx) or (preserve_thinking and (message['tool_calls'] | default(none))) -%}
234
+ {%- if thinking_text and thinking_gate -%}
235
+ {{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
236
+ {%- endif -%}
237
+
238
+ {%- if message['tool_calls'] | default(none) -%}
239
+ {%- for tool_call in message['tool_calls'] | default([]) -%}
240
+ {%- set function = tool_call['function'] -%}
241
+ {{- '<|tool_call>call:' + function['name'] + '{' -}}
242
+ {%- if function['arguments'] is mapping -%}
243
+ {%- set ns_args = namespace(found_first=false) -%}
244
+ {%- for key, value in function['arguments'] | dictsort -%}
245
+ {%- if ns_args.found_first %},{% endif -%}
246
+ {%- set ns_args.found_first = true -%}
247
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
248
+ {%- endfor -%}
249
+ {%- elif function['arguments'] is none -%}
250
+ {%- elif function['arguments'] is string -%}
251
+ {#- Pre-serialized args (e.g. an OpenAI JSON string). We cannot JSON-parse
252
+ portably in-template, so render non-fatally instead of erroring. Strip an
253
+ outer {...} so it composes with the DSL braces rather than double-wrapping.
254
+ Prefer passing arguments as a mapping for exact Gemma DSL. -#}
255
+ {%- set argstr = function['arguments'] | trim -%}
256
+ {%- if argstr[:1] == '{' and argstr[-1:] == '}' -%}
257
+ {{- argstr[1:-1] -}}
258
+ {%- else -%}
259
+ {{- function['arguments'] -}}
260
+ {%- endif -%}
261
+ {%- endif -%}
262
+ {{- '}<tool_call|>' -}}
263
+ {%- endfor -%}
264
+ {%- set ns.prev_message_type = 'tool_call' -%}
265
+ {%- endif -%}
266
+
267
+ {%- set ns_tr_out = namespace(flag=false) -%}
268
+ {%- if message['tool_responses'] | default(none) -%}
269
+ {#- Legacy: tool_responses embedded on the assistant message (Google/Gemma native) -#}
270
+ {%- for tool_response in message['tool_responses'] | default([]) -%}
271
+ {{- format_tool_response_block(tool_response['name'] | default('unknown', true), tool_response['response']) -}}
272
+ {%- set ns_tr_out.flag = true -%}
273
+ {%- set ns.prev_message_type = 'tool_response' -%}
274
+ {%- endfor -%}
275
+ {%- elif message['tool_calls'] | default(none) -%}
276
+ {#- OpenAI Chat Completions: forward-scan consecutive role:tool messages -#}
277
+ {%- set ns_tool_scan = namespace(stopped=false) -%}
278
+ {%- for k in range(loop.index0 + 1, loop_messages | length) -%}
279
+ {%- if ns_tool_scan.stopped -%}
280
+ {%- elif loop_messages[k]['role'] != 'tool' -%}
281
+ {%- set ns_tool_scan.stopped = true -%}
282
+ {%- else -%}
283
+ {%- set follow = loop_messages[k] -%}
284
+ {#- Resolve tool_call_id to function name -#}
285
+ {%- set ns_tname = namespace(name=(follow['name'] | default(none)) or 'unknown') -%}
286
+ {%- for tc in message['tool_calls'] | default([]) -%}
287
+ {%- if (tc['id'] | default(none)) == (follow['tool_call_id'] | default(none)) -%}
288
+ {%- set ns_tname.name = tc['function']['name'] -%}
289
+ {%- endif -%}
290
+ {%- endfor -%}
291
+ {#- Handle content as string or content-parts array -#}
292
+ {%- set tool_body = follow['content'] | default(none) -%}
293
+ {%- if tool_body is string -%}
294
+ {{- format_tool_response_block(ns_tname.name, tool_body) -}}
295
+ {%- elif tool_body is sequence and tool_body is not string -%}
296
+ {%- set ns_txt = namespace(s='') -%}
297
+ {%- for part in tool_body -%}
298
+ {%- if (part['type'] | default(none)) == 'text' -%}
299
+ {%- set ns_txt.s = ns_txt.s + (part['text'] | default('')) -%}
300
+ {%- endif -%}
301
+ {%- endfor -%}
302
+ {{- format_tool_response_block(ns_tname.name, ns_txt.s) -}}
303
+ {%- for part in tool_body -%}
304
+ {%- if (part['type'] | default(none)) in ['image', 'image_url'] -%}
305
+ {{- '<|image|>' -}}
306
+ {%- elif (part['type'] | default(none)) in ['audio', 'input_audio'] -%}
307
+ {{- '<|audio|>' -}}
308
+ {%- elif (part['type'] | default(none)) == 'video' -%}
309
+ {{- '<|video|>' -}}
310
+ {%- endif -%}
311
+ {%- endfor -%}
312
+ {%- else -%}
313
+ {{- format_tool_response_block(ns_tname.name, tool_body) -}}
314
+ {%- endif -%}
315
+ {%- set ns_tr_out.flag = true -%}
316
+ {%- set ns.prev_message_type = 'tool_response' -%}
317
+ {%- endif -%}
318
+ {%- endfor -%}
319
+ {%- endif -%}
320
+
321
+ {%- set captured_content -%}
322
+ {%- if (message['content'] | default(none)) is string -%}
323
+ {%- if role == 'model' -%}
324
+ {{- strip_thinking(message['content']) -}}
325
+ {%- else -%}
326
+ {{- message['content'] | trim -}}
327
+ {%- endif -%}
328
+ {%- elif (message['content'] | default(none)) is sequence -%}
329
+ {%- for item in message['content'] -%}
330
+ {%- if (item['type'] | default(none)) == 'text' -%}
331
+ {%- if role == 'model' -%}
332
+ {{- strip_thinking(item['text']) -}}
333
+ {%- else -%}
334
+ {{- item['text'] | trim -}}
335
+ {%- endif -%}
336
+ {%- elif (item['type'] | default(none)) in ['image', 'image_url'] -%}
337
+ {{- '<|image|>' -}}
338
+ {%- elif (item['type'] | default(none)) in ['audio', 'input_audio'] -%}
339
+ {{- '<|audio|>' -}}
340
+ {%- elif (item['type'] | default(none)) == 'video' -%}
341
+ {{- '<|video|>' -}}
342
+ {%- endif -%}
343
+ {%- endfor -%}
344
+ {%- endif -%}
345
+ {%- endset -%}
346
+
347
+ {{- captured_content -}}
348
+ {%- set has_content = captured_content | trim | length > 0 -%}
349
+
350
+ {#- Forward-scan: find next non-tool message role for continuation detection -#}
351
+ {%- set next_nt = namespace(role=None, found=false) -%}
352
+ {%- for j in range(loop.index0 + 1, loop_messages | length) -%}
353
+ {%- if not next_nt.found -%}
354
+ {%- if loop_messages[j]['role'] != 'tool' -%}
355
+ {%- set next_nt.role = loop_messages[j]['role'] -%}
356
+ {%- set next_nt.found = true -%}
357
+ {%- endif -%}
358
+ {%- endif -%}
359
+ {%- endfor -%}
360
+
361
+ {%- set continues_into_next = (
362
+ role == 'model'
363
+ and next_nt.role == 'assistant'
364
+ and (not (message['tool_calls'] | default(none)) or ns_tr_out.flag)
365
+ ) -%}
366
+
367
+ {%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
368
+ {{- '<|tool_response>' -}}
369
+ {%- elif continues_into_next -%}
370
+ {%- elif not (ns_tr_out.flag and not has_content and not next_nt.found) -%}
371
+ {{- '<turn|>\n' -}}
372
+ {%- endif -%}
373
+
374
+ {#- Track previous non-tool role for next iteration (avoids O(n) backward scan) -#}
375
+ {%- set ns.prev_non_tool_role = message['role'] -%}
376
+ {%- endif -%}
377
+ {%- endfor -%}
378
+
379
+ {%- if add_generation_prompt -%}
380
+ {%- if ns.prev_message_type != 'tool_response' and ns.prev_message_type != 'tool_call' -%}
381
+ {{- '<|turn>model\n' -}}
382
+ {%- elif ns.prev_message_type == 'tool_response' and enable_thinking -%}
383
+ {{- '<|channel>thought\n' -}}
384
+ {%- endif -%}
385
+ {%- endif -%}
coach-finetuned-int4.litertlm ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ca1f4d04a670ed9cda968161664c7a3d5e8feb9788487de670c0df6ad7562a13
3
+ size 2556401616
config.json ADDED
@@ -0,0 +1,192 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma4ForConditionalGeneration"
4
+ ],
5
+ "audio_config": {
6
+ "_name_or_path": "",
7
+ "architectures": null,
8
+ "attention_chunk_size": 12,
9
+ "attention_context_left": 13,
10
+ "attention_context_right": 0,
11
+ "attention_invalid_logits_value": -1000000000.0,
12
+ "attention_logit_cap": 50.0,
13
+ "chunk_size_feed_forward": 0,
14
+ "conv_kernel_size": 5,
15
+ "dtype": "bfloat16",
16
+ "gradient_clipping": 10000000000.0,
17
+ "hidden_act": "silu",
18
+ "hidden_size": 1024,
19
+ "id2label": {
20
+ "0": "LABEL_0",
21
+ "1": "LABEL_1"
22
+ },
23
+ "initializer_range": 0.02,
24
+ "is_encoder_decoder": false,
25
+ "label2id": {
26
+ "LABEL_0": 0,
27
+ "LABEL_1": 1
28
+ },
29
+ "model_type": "gemma4_audio",
30
+ "num_attention_heads": 8,
31
+ "num_hidden_layers": 12,
32
+ "output_attentions": false,
33
+ "output_hidden_states": false,
34
+ "output_proj_dims": 1536,
35
+ "problem_type": null,
36
+ "residual_weight": 0.5,
37
+ "return_dict": true,
38
+ "rms_norm_eps": 1e-06,
39
+ "subsampling_conv_channels": [
40
+ 128,
41
+ 32
42
+ ],
43
+ "use_clipped_linears": true
44
+ },
45
+ "audio_token_id": 258881,
46
+ "boa_token_id": 256000,
47
+ "boi_token_id": 255999,
48
+ "dtype": "bfloat16",
49
+ "eoa_token_id": 258883,
50
+ "eoa_token_index": 258883,
51
+ "eoi_token_id": 258882,
52
+ "eos_token_id": 106,
53
+ "image_token_id": 258880,
54
+ "initializer_range": 0.02,
55
+ "model_name": "unsloth/gemma-4-E2B-it",
56
+ "model_type": "gemma4",
57
+ "pad_token_id": 0,
58
+ "text_config": {
59
+ "attention_bias": false,
60
+ "attention_dropout": 0.0,
61
+ "attention_k_eq_v": false,
62
+ "bos_token_id": 2,
63
+ "dtype": "bfloat16",
64
+ "enable_moe_block": false,
65
+ "eos_token_id": 1,
66
+ "expert_intermediate_size": null,
67
+ "final_logit_softcapping": 30.0,
68
+ "global_head_dim": 512,
69
+ "head_dim": 256,
70
+ "hidden_activation": "gelu_pytorch_tanh",
71
+ "hidden_size": 1536,
72
+ "hidden_size_per_layer_input": 256,
73
+ "initializer_range": 0.02,
74
+ "intermediate_size": 6144,
75
+ "layer_types": [
76
+ "sliding_attention",
77
+ "sliding_attention",
78
+ "sliding_attention",
79
+ "sliding_attention",
80
+ "full_attention",
81
+ "sliding_attention",
82
+ "sliding_attention",
83
+ "sliding_attention",
84
+ "sliding_attention",
85
+ "full_attention",
86
+ "sliding_attention",
87
+ "sliding_attention",
88
+ "sliding_attention",
89
+ "sliding_attention",
90
+ "full_attention",
91
+ "sliding_attention",
92
+ "sliding_attention",
93
+ "sliding_attention",
94
+ "sliding_attention",
95
+ "full_attention",
96
+ "sliding_attention",
97
+ "sliding_attention",
98
+ "sliding_attention",
99
+ "sliding_attention",
100
+ "full_attention",
101
+ "sliding_attention",
102
+ "sliding_attention",
103
+ "sliding_attention",
104
+ "sliding_attention",
105
+ "full_attention",
106
+ "sliding_attention",
107
+ "sliding_attention",
108
+ "sliding_attention",
109
+ "sliding_attention",
110
+ "full_attention"
111
+ ],
112
+ "max_position_embeddings": 131072,
113
+ "model_type": "gemma4_text",
114
+ "moe_intermediate_size": null,
115
+ "num_attention_heads": 8,
116
+ "num_experts": null,
117
+ "num_global_key_value_heads": null,
118
+ "num_hidden_layers": 35,
119
+ "num_key_value_heads": 1,
120
+ "num_kv_shared_layers": 20,
121
+ "pad_token_id": 0,
122
+ "rms_norm_eps": 1e-06,
123
+ "rope_parameters": {
124
+ "full_attention": {
125
+ "partial_rotary_factor": 0.25,
126
+ "rope_theta": 1000000.0,
127
+ "rope_type": "proportional"
128
+ },
129
+ "sliding_attention": {
130
+ "rope_theta": 10000.0,
131
+ "rope_type": "default"
132
+ }
133
+ },
134
+ "sliding_window": 512,
135
+ "tie_word_embeddings": true,
136
+ "top_k_experts": null,
137
+ "use_bidirectional_attention": null,
138
+ "use_cache": false,
139
+ "use_double_wide_mlp": true,
140
+ "vocab_size": 262144,
141
+ "vocab_size_per_layer_input": 262144
142
+ },
143
+ "tie_word_embeddings": true,
144
+ "transformers_version": "5.5.0",
145
+ "unsloth_fixed": true,
146
+ "unsloth_version": "2026.7.6",
147
+ "video_token_id": 258884,
148
+ "vision_config": {
149
+ "_name_or_path": "",
150
+ "architectures": null,
151
+ "attention_bias": false,
152
+ "attention_dropout": 0.0,
153
+ "chunk_size_feed_forward": 0,
154
+ "default_output_length": 280,
155
+ "dtype": "bfloat16",
156
+ "global_head_dim": 64,
157
+ "head_dim": 64,
158
+ "hidden_activation": "gelu_pytorch_tanh",
159
+ "hidden_size": 768,
160
+ "id2label": {
161
+ "0": "LABEL_0",
162
+ "1": "LABEL_1"
163
+ },
164
+ "initializer_range": 0.02,
165
+ "intermediate_size": 3072,
166
+ "is_encoder_decoder": false,
167
+ "label2id": {
168
+ "LABEL_0": 0,
169
+ "LABEL_1": 1
170
+ },
171
+ "max_position_embeddings": 131072,
172
+ "model_type": "gemma4_vision",
173
+ "num_attention_heads": 12,
174
+ "num_hidden_layers": 16,
175
+ "num_key_value_heads": 12,
176
+ "output_attentions": false,
177
+ "output_hidden_states": false,
178
+ "patch_size": 16,
179
+ "pooling_kernel_size": 3,
180
+ "position_embedding_size": 10240,
181
+ "problem_type": null,
182
+ "return_dict": true,
183
+ "rms_norm_eps": 1e-06,
184
+ "rope_parameters": {
185
+ "rope_theta": 100.0,
186
+ "rope_type": "default"
187
+ },
188
+ "standardize": false,
189
+ "use_clipped_linears": true
190
+ },
191
+ "vision_soft_tokens_per_image": 280
192
+ }
generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 2,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 1,
6
+ 106,
7
+ 50
8
+ ],
9
+ "pad_token_id": 0,
10
+ "temperature": 1.0,
11
+ "top_k": 64,
12
+ "top_p": 0.95,
13
+ "transformers_version": "5.5.0"
14
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e232c0b5d6dd849897b7bcb998760aaa09048d59dae06e81fc7393654012f5fd
3
+ size 10246621918
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
3
+ size 32169626
tokenizer_config.json ADDED
@@ -0,0 +1,95 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "audio_token": "<|audio|>",
3
+ "backend": "tokenizers",
4
+ "boa_token": "<|audio>",
5
+ "boi_token": "<|image>",
6
+ "bos_token": "<bos>",
7
+ "eoa_token": "<audio|>",
8
+ "eoc_token": "<channel|>",
9
+ "eoi_token": "<image|>",
10
+ "eos_token": "<turn|>",
11
+ "eot_token": "<turn|>",
12
+ "escape_token": "<|\"|>",
13
+ "etc_token": "<tool_call|>",
14
+ "etd_token": "<tool|>",
15
+ "etr_token": "<tool_response|>",
16
+ "extra_special_tokens": [
17
+ "<|video|>"
18
+ ],
19
+ "image_token": "<|image|>",
20
+ "is_local": true,
21
+ "mask_token": "<mask>",
22
+ "model_max_length": 131072,
23
+ "model_specific_special_tokens": {
24
+ "audio_token": "<|audio|>",
25
+ "boa_token": "<|audio>",
26
+ "boi_token": "<|image>",
27
+ "eoa_token": "<audio|>",
28
+ "eoc_token": "<channel|>",
29
+ "eoi_token": "<image|>",
30
+ "eot_token": "<turn|>",
31
+ "escape_token": "<|\"|>",
32
+ "etc_token": "<tool_call|>",
33
+ "etd_token": "<tool|>",
34
+ "etr_token": "<tool_response|>",
35
+ "image_token": "<|image|>",
36
+ "soc_token": "<|channel>",
37
+ "sot_token": "<|turn>",
38
+ "stc_token": "<|tool_call>",
39
+ "std_token": "<|tool>",
40
+ "str_token": "<|tool_response>",
41
+ "think_token": "<|think|>"
42
+ },
43
+ "pad_token": "<pad>",
44
+ "padding_side": "left",
45
+ "processor_class": "Gemma4Processor",
46
+ "response_schema": {
47
+ "properties": {
48
+ "content": {
49
+ "type": "string"
50
+ },
51
+ "role": {
52
+ "const": "assistant"
53
+ },
54
+ "thinking": {
55
+ "type": "string"
56
+ },
57
+ "tool_calls": {
58
+ "items": {
59
+ "properties": {
60
+ "function": {
61
+ "properties": {
62
+ "arguments": {
63
+ "additionalProperties": {},
64
+ "type": "object",
65
+ "x-parser": "gemma4-tool-call"
66
+ },
67
+ "name": {
68
+ "type": "string"
69
+ }
70
+ },
71
+ "type": "object",
72
+ "x-regex": "call\\:(?P<name>\\w+)(?P<arguments>\\{.*\\})"
73
+ },
74
+ "type": {
75
+ "const": "function"
76
+ }
77
+ },
78
+ "type": "object"
79
+ },
80
+ "type": "array",
81
+ "x-regex-iterator": "<\\|tool_call>(.*?)<tool_call\\|>"
82
+ }
83
+ },
84
+ "type": "object",
85
+ "x-regex": "(\\<\\|channel\\>thought\\n(?P<thinking>.*?)\\<channel\\|\\>)?(?P<tool_calls>\\<\\|tool_call\\>.*\\<tool_call\\|\\>)?(?P<content>(?:(?!\\<turn\\|\\>)(?!\\<\\|tool_response\\>).)+)?(?:\\<turn\\|\\>|\\<\\|tool_response\\>)?"
86
+ },
87
+ "soc_token": "<|channel>",
88
+ "sot_token": "<|turn>",
89
+ "stc_token": "<|tool_call>",
90
+ "std_token": "<|tool>",
91
+ "str_token": "<|tool_response>",
92
+ "think_token": "<|think|>",
93
+ "tokenizer_class": "GemmaTokenizer",
94
+ "unk_token": "<unk>"
95
+ }