Duplicate from Gryphe/Gemma-4-12B-StyleTune
Browse filesCo-authored-by: Gryphe Padar <Gryphe@users.noreply.huggingface.co>
- .gitattributes +37 -0
- Gemma-4-12B-StyleTune.jpg +3 -0
- README.md +62 -0
- chat_template.jinja +363 -0
- config.json +168 -0
- generation_config.json +18 -0
- model.safetensors +3 -0
- processor_config.json +62 -0
- tokenizer.json +3 -0
- tokenizer_config.json +96 -0
.gitattributes
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip 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 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
Gemma-4-12B-StyleTune.jpg filter=lfs diff=lfs merge=lfs -text
|
Gemma-4-12B-StyleTune.jpg
ADDED
|
Git LFS Details
|
README.md
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
base_model:
|
| 6 |
+
- google/gemma-4-12B-it
|
| 7 |
+
tags:
|
| 8 |
+
- gemma4
|
| 9 |
+
- conversational
|
| 10 |
+
- instruct
|
| 11 |
+
- finetune
|
| 12 |
+
- roleplay
|
| 13 |
+
- creative-writing
|
| 14 |
+
- style-tune
|
| 15 |
+
pipeline_tag: text-generation
|
| 16 |
+
---
|
| 17 |
+
|
| 18 |
+
# Gemma-4-12B-StyleTune
|
| 19 |
+
|
| 20 |
+
[](Gemma-4-12B-StyleTune.jpg)
|
| 21 |
+
|
| 22 |
+
And now, to complete the Gemma 4 family, here's a 12B Style Tune, offering a 56% cliche reduction and an entirely different writing style!
|
| 23 |
+
|
| 24 |
+
Also available in [31B version](https://huggingface.co/Gryphe/Gemma-4-31B-StyleTune) and a [26B-A4B version](https://huggingface.co/Gryphe/Gemma-4-26B-A4B-StyleTune-V2).
|
| 25 |
+
|
| 26 |
+
## What is a style tune?
|
| 27 |
+
|
| 28 |
+
Normally when I finetune a model I train as much of it as possible, loading every tensor and transforming it to better approximate whatever's in my data. Not this time. This time I trained precisely one tensor: the `lm_head` output projection - the layer that decides which token to emit. Literally the last stop before text appears on your screen.
|
| 29 |
+
|
| 30 |
+
This specific tensor has a massive influence on a model's writing style, something I first discovered building MythoMax years ago. Gemma 31B (the first style tune) is a VRAM-hungry monster, so the question became: how do I have the maximum impact with the minimum hardware requirements?
|
| 31 |
+
|
| 32 |
+
The answer: freeze everything else. All 30 transformer layers, all the attention heads, all the MLPs — completely untouched. Only `lm_head` trains, which means VRAM requirements drop dramatically, training completes in a single overnight run on consumer hardware, and every single one of Gemma's capabilities remains fully intact. The model hasn't changed. Only the voice has, and it's done so in the best way possible. (Obligatory disclaimer: I might be biased towards my own data.)
|
| 33 |
+
|
| 34 |
+
I used the same data I had on me for my last Pantheon Reasoning release, with one notable exception - No instruct 24k set. 100% narrative data, certified cliché free.
|
| 35 |
+
|
| 36 |
+
## What changed?
|
| 37 |
+
|
| 38 |
+
Benchmarked against 200 diverse roleplay prompts versus the base instruct model:
|
| 39 |
+
|
| 40 |
+
- **56% fewer clichés** per 100 words (1.050 → 0.463)
|
| 41 |
+
- **Only 16.8% shared trigram vocabulary** - the model reaches for an almost entirely different set of phrases, with responses feeling much less sloppy as a result.
|
| 42 |
+
|
| 43 |
+
Considering we're talking about narrative data it's hard to provide you with many other meaningful statistics - It's one of those "try it to understand it" kinda situations.
|
| 44 |
+
|
| 45 |
+
## What didn't change?
|
| 46 |
+
|
| 47 |
+
Everything else. All the reasoning capability, world knowledge, instruction following, and language understanding are completely intact - none of those live in `lm_head`. This isn't a full finetune. It's a targeted style replacement on a single tensor.
|
| 48 |
+
|
| 49 |
+
## Inference
|
| 50 |
+
|
| 51 |
+
Whatever you prefer, Gemma seems remarkably flexible in that regard. I run with temp 1.0, 0.10 MinP and the DRY sampler.
|
| 52 |
+
|
| 53 |
+
## Prompt Format
|
| 54 |
+
|
| 55 |
+
Gemma 4's native chat template applies automatically.
|
| 56 |
+
|
| 57 |
+
## Credits
|
| 58 |
+
|
| 59 |
+
- Everyone from [Anthracite](https://huggingface.co/anthracite-org)! Hi, guys!
|
| 60 |
+
- [Latitude](https://huggingface.co/LatitudeGames), for which I am still producing finetunes on a regular basis, helping me keep my skills sharp and up-to-date!
|
| 61 |
+
- All the folks I chat with on a daily basis on Discord! You know who you are.
|
| 62 |
+
- Anyone I forgot to mention, just in case!
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,363 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 string -%}
|
| 120 |
+
{{- '<|"|>' + argument + '<|"|>' -}}
|
| 121 |
+
{%- elif argument is boolean -%}
|
| 122 |
+
{{- 'true' if argument else 'false' -}}
|
| 123 |
+
{%- elif argument is mapping -%}
|
| 124 |
+
{{- '{' -}}
|
| 125 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 126 |
+
{%- for key, value in argument | dictsort -%}
|
| 127 |
+
{%- if ns.found_first %},{% endif -%}
|
| 128 |
+
{%- set ns.found_first = true -%}
|
| 129 |
+
{%- if escape_keys -%}
|
| 130 |
+
{{- '<|"|>' + key + '<|"|>' -}}
|
| 131 |
+
{%- else -%}
|
| 132 |
+
{{- key -}}
|
| 133 |
+
{%- endif -%}
|
| 134 |
+
:{{- format_argument(value, escape_keys=escape_keys) -}}
|
| 135 |
+
{%- endfor -%}
|
| 136 |
+
{{- '}' -}}
|
| 137 |
+
{%- elif argument is sequence -%}
|
| 138 |
+
{{- '[' -}}
|
| 139 |
+
{%- for item in argument -%}
|
| 140 |
+
{{- format_argument(item, escape_keys=escape_keys) -}}
|
| 141 |
+
{%- if not loop.last %},{% endif -%}
|
| 142 |
+
{%- endfor -%}
|
| 143 |
+
{{- ']' -}}
|
| 144 |
+
{%- else -%}
|
| 145 |
+
{{- argument -}}
|
| 146 |
+
{%- endif -%}
|
| 147 |
+
{%- endmacro -%}
|
| 148 |
+
{%- macro strip_thinking(text) -%}
|
| 149 |
+
{%- set ns = namespace(result='') -%}
|
| 150 |
+
{%- for part in text.split('<channel|>') -%}
|
| 151 |
+
{%- if '<|channel>' in part -%}
|
| 152 |
+
{%- set ns.result = ns.result + part.split('<|channel>')[0] -%}
|
| 153 |
+
{%- else -%}
|
| 154 |
+
{%- set ns.result = ns.result + part -%}
|
| 155 |
+
{%- endif -%}
|
| 156 |
+
{%- endfor -%}
|
| 157 |
+
{{- ns.result | trim -}}
|
| 158 |
+
{%- endmacro -%}
|
| 159 |
+
|
| 160 |
+
{%- macro format_tool_response_block(tool_name, response) -%}
|
| 161 |
+
{{- '<|tool_response>' -}}
|
| 162 |
+
{%- if response is mapping -%}
|
| 163 |
+
{{- 'response:' + tool_name + '{' -}}
|
| 164 |
+
{%- for key, value in response | dictsort -%}
|
| 165 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 166 |
+
{%- if not loop.last %},{% endif -%}
|
| 167 |
+
{%- endfor -%}
|
| 168 |
+
{{- '}' -}}
|
| 169 |
+
{%- else -%}
|
| 170 |
+
{{- 'response:' + tool_name + '{value:' + format_argument(response, escape_keys=False) + '}' -}}
|
| 171 |
+
{%- endif -%}
|
| 172 |
+
{{- '<tool_response|>' -}}
|
| 173 |
+
{%- endmacro -%}
|
| 174 |
+
|
| 175 |
+
{%- set ns = namespace(prev_message_type=None) -%}
|
| 176 |
+
{%- set loop_messages = messages -%}
|
| 177 |
+
{{- bos_token -}}
|
| 178 |
+
{#- Handle System/Tool Definitions Block -#}
|
| 179 |
+
{%- if (enable_thinking is defined and enable_thinking) or tools or messages[0]['role'] in ['system', 'developer'] -%}
|
| 180 |
+
{{- '<|turn>system\n' -}}
|
| 181 |
+
{#- Inject Thinking token at the very top of the FIRST system turn -#}
|
| 182 |
+
{%- if enable_thinking is defined and enable_thinking -%}
|
| 183 |
+
{{- '<|think|>\n' -}}
|
| 184 |
+
{%- set ns.prev_message_type = 'think' -%}
|
| 185 |
+
{%- endif -%}
|
| 186 |
+
{%- if messages[0]['role'] in ['system', 'developer'] -%}
|
| 187 |
+
{%- if messages[0]['content'] is string -%}
|
| 188 |
+
{{- messages[0]['content'] | trim -}}
|
| 189 |
+
{%- elif messages[0]['content'] is sequence -%}
|
| 190 |
+
{%- for item in messages[0]['content'] -%}
|
| 191 |
+
{{- item['text'] | trim + ' '-}}
|
| 192 |
+
{%- endfor -%}
|
| 193 |
+
{%- endif -%}
|
| 194 |
+
{%- set loop_messages = messages[1:] -%}
|
| 195 |
+
{%- endif -%}
|
| 196 |
+
{%- if tools -%}
|
| 197 |
+
{%- for tool in tools %}
|
| 198 |
+
{{- '<|tool>' -}}
|
| 199 |
+
{{- format_function_declaration(tool) | trim -}}
|
| 200 |
+
{{- '<tool|>' -}}
|
| 201 |
+
{%- endfor %}
|
| 202 |
+
{%- set ns.prev_message_type = 'tool' -%}
|
| 203 |
+
{%- endif -%}
|
| 204 |
+
{{- '<turn|>\n' -}}
|
| 205 |
+
{%- endif %}
|
| 206 |
+
|
| 207 |
+
{#- Pre-scan: find last user message index for reasoning guard -#}
|
| 208 |
+
{%- set ns_turn = namespace(last_user_idx=-1) -%}
|
| 209 |
+
{%- for i in range(loop_messages | length) -%}
|
| 210 |
+
{%- if loop_messages[i]['role'] == 'user' -%}
|
| 211 |
+
{%- set ns_turn.last_user_idx = i -%}
|
| 212 |
+
{%- endif -%}
|
| 213 |
+
{%- endfor -%}
|
| 214 |
+
|
| 215 |
+
{#- Loop through messages -#}
|
| 216 |
+
{%- for message in loop_messages -%}
|
| 217 |
+
{%- if message['role'] != 'tool' -%}
|
| 218 |
+
{%- set ns.prev_message_type = None -%}
|
| 219 |
+
{%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
|
| 220 |
+
{#- Detect continuation: suppress duplicate <|turn>model when previous non-tool message was also assistant -#}
|
| 221 |
+
{%- set prev_nt = namespace(role=None, found=false) -%}
|
| 222 |
+
{%- if loop.index0 > 0 -%}
|
| 223 |
+
{%- for j in range(loop.index0 - 1, -1, -1) -%}
|
| 224 |
+
{%- if not prev_nt.found -%}
|
| 225 |
+
{%- if loop_messages[j]['role'] != 'tool' -%}
|
| 226 |
+
{%- set prev_nt.role = loop_messages[j]['role'] -%}
|
| 227 |
+
{%- set prev_nt.found = true -%}
|
| 228 |
+
{%- endif -%}
|
| 229 |
+
{%- endif -%}
|
| 230 |
+
{%- endfor -%}
|
| 231 |
+
{%- endif -%}
|
| 232 |
+
{%- set continue_same_model_turn = (role == 'model' and prev_nt.role == 'assistant') -%}
|
| 233 |
+
{%- if not continue_same_model_turn -%}
|
| 234 |
+
{{- '<|turn>' + role + '\n' }}
|
| 235 |
+
{%- endif -%}
|
| 236 |
+
|
| 237 |
+
{#- Render reasoning/reasoning_content as thinking channel -#}
|
| 238 |
+
{%- set thinking_text = message.get('reasoning') or message.get('reasoning_content') -%}
|
| 239 |
+
{%- if thinking_text and loop.index0 > ns_turn.last_user_idx and message.get('tool_calls') -%}
|
| 240 |
+
{{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
|
| 241 |
+
{%- endif -%}
|
| 242 |
+
|
| 243 |
+
{%- if message['tool_calls'] -%}
|
| 244 |
+
{%- for tool_call in message['tool_calls'] -%}
|
| 245 |
+
{%- set function = tool_call['function'] -%}
|
| 246 |
+
{{- '<|tool_call>call:' + function['name'] + '{' -}}
|
| 247 |
+
{%- if function['arguments'] is mapping -%}
|
| 248 |
+
{%- set ns_args = namespace(found_first=false) -%}
|
| 249 |
+
{%- for key, value in function['arguments'] | dictsort -%}
|
| 250 |
+
{%- if ns_args.found_first %},{% endif -%}
|
| 251 |
+
{%- set ns_args.found_first = true -%}
|
| 252 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 253 |
+
{%- endfor -%}
|
| 254 |
+
{%- elif function['arguments'] is string -%}
|
| 255 |
+
{{- function['arguments'] -}}
|
| 256 |
+
{%- endif -%}
|
| 257 |
+
{{- '}<tool_call|>' -}}
|
| 258 |
+
{%- endfor -%}
|
| 259 |
+
{%- set ns.prev_message_type = 'tool_call' -%}
|
| 260 |
+
{%- endif -%}
|
| 261 |
+
|
| 262 |
+
{%- set ns_tr_out = namespace(flag=false) -%}
|
| 263 |
+
{%- if message.get('tool_responses') -%}
|
| 264 |
+
{#- Legacy: tool_responses embedded on the assistant message (Google/Gemma native) -#}
|
| 265 |
+
{%- for tool_response in message['tool_responses'] -%}
|
| 266 |
+
{{- format_tool_response_block(tool_response['name'] | default('unknown'), tool_response['response']) -}}
|
| 267 |
+
{%- set ns_tr_out.flag = true -%}
|
| 268 |
+
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 269 |
+
{%- endfor -%}
|
| 270 |
+
{%- elif message.get('tool_calls') -%}
|
| 271 |
+
{#- OpenAI Chat Completions: forward-scan consecutive role:tool messages -#}
|
| 272 |
+
{%- set ns_tool_scan = namespace(stopped=false) -%}
|
| 273 |
+
{%- for k in range(loop.index0 + 1, loop_messages | length) -%}
|
| 274 |
+
{%- if ns_tool_scan.stopped -%}
|
| 275 |
+
{%- elif loop_messages[k]['role'] != 'tool' -%}
|
| 276 |
+
{%- set ns_tool_scan.stopped = true -%}
|
| 277 |
+
{%- else -%}
|
| 278 |
+
{%- set follow = loop_messages[k] -%}
|
| 279 |
+
{#- Resolve tool_call_id to function name -#}
|
| 280 |
+
{%- set ns_tname = namespace(name=follow.get('name') | default('unknown')) -%}
|
| 281 |
+
{%- for tc in message['tool_calls'] -%}
|
| 282 |
+
{%- if tc.get('id') == follow.get('tool_call_id') -%}
|
| 283 |
+
{%- set ns_tname.name = tc['function']['name'] -%}
|
| 284 |
+
{%- endif -%}
|
| 285 |
+
{%- endfor -%}
|
| 286 |
+
{#- Handle content as string or content-parts array -#}
|
| 287 |
+
{%- set tool_body = follow.get('content') -%}
|
| 288 |
+
{%- if tool_body is string -%}
|
| 289 |
+
{{- format_tool_response_block(ns_tname.name, tool_body) -}}
|
| 290 |
+
{%- elif tool_body is sequence and tool_body is not string -%}
|
| 291 |
+
{%- set ns_txt = namespace(s='') -%}
|
| 292 |
+
{%- for part in tool_body -%}
|
| 293 |
+
{%- if part.get('type') == 'text' -%}
|
| 294 |
+
{%- set ns_txt.s = ns_txt.s + (part.get('text') | default('')) -%}
|
| 295 |
+
{%- endif -%}
|
| 296 |
+
{%- endfor -%}
|
| 297 |
+
{{- format_tool_response_block(ns_tname.name, ns_txt.s) -}}
|
| 298 |
+
{%- for part in tool_body -%}
|
| 299 |
+
{%- if part.get('type') == 'image' -%}
|
| 300 |
+
{{- '<|image|>' -}}
|
| 301 |
+
{%- elif part.get('type') == 'audio' -%}
|
| 302 |
+
{{- '<|audio|>' -}}
|
| 303 |
+
{%- elif part.get('type') == 'video' -%}
|
| 304 |
+
{{- '<|video|>' -}}
|
| 305 |
+
{%- endif -%}
|
| 306 |
+
{%- endfor -%}
|
| 307 |
+
{%- else -%}
|
| 308 |
+
{{- format_tool_response_block(ns_tname.name, tool_body) -}}
|
| 309 |
+
{%- endif -%}
|
| 310 |
+
{%- set ns_tr_out.flag = true -%}
|
| 311 |
+
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 312 |
+
{%- endif -%}
|
| 313 |
+
{%- endfor -%}
|
| 314 |
+
{%- endif -%}
|
| 315 |
+
|
| 316 |
+
{%- set captured_content -%}
|
| 317 |
+
{%- if message['content'] is string -%}
|
| 318 |
+
{%- if role == 'model' -%}
|
| 319 |
+
{{- strip_thinking(message['content']) -}}
|
| 320 |
+
{%- else -%}
|
| 321 |
+
{{- message['content'] | trim -}}
|
| 322 |
+
{%- endif -%}
|
| 323 |
+
{%- elif message['content'] is sequence -%}
|
| 324 |
+
{%- for item in message['content'] -%}
|
| 325 |
+
{%- if item['type'] == 'text' -%}
|
| 326 |
+
{%- if role == 'model' -%}
|
| 327 |
+
{{- strip_thinking(item['text']) -}}
|
| 328 |
+
{%- else -%}
|
| 329 |
+
{{- item['text'] | trim -}}
|
| 330 |
+
{%- endif -%}
|
| 331 |
+
{%- elif item['type'] == 'image' -%}
|
| 332 |
+
{{- '<|image|>' -}}
|
| 333 |
+
{%- set ns.prev_message_type = 'image' -%}
|
| 334 |
+
{%- elif item['type'] == 'audio' -%}
|
| 335 |
+
{{- '<|audio|>' -}}
|
| 336 |
+
{%- set ns.prev_message_type = 'audio' -%}
|
| 337 |
+
{%- elif item['type'] == 'video' -%}
|
| 338 |
+
{{- '<|video|>' -}}
|
| 339 |
+
{%- set ns.prev_message_type = 'video' -%}
|
| 340 |
+
{%- endif -%}
|
| 341 |
+
{%- endfor -%}
|
| 342 |
+
{%- endif -%}
|
| 343 |
+
{%- endset -%}
|
| 344 |
+
|
| 345 |
+
{{- captured_content -}}
|
| 346 |
+
{%- set has_content = captured_content | trim | length > 0 -%}
|
| 347 |
+
|
| 348 |
+
{%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
|
| 349 |
+
{{- '<|tool_response>' -}}
|
| 350 |
+
{%- elif not (ns_tr_out.flag and not has_content) -%}
|
| 351 |
+
{{- '<turn|>\n' -}}
|
| 352 |
+
{%- endif -%}
|
| 353 |
+
{%- endif -%}
|
| 354 |
+
{%- endfor -%}
|
| 355 |
+
|
| 356 |
+
{%- if add_generation_prompt -%}
|
| 357 |
+
{%- if ns.prev_message_type != 'tool_response' and ns.prev_message_type != 'tool_call' -%}
|
| 358 |
+
{{- '<|turn>model\n' -}}
|
| 359 |
+
{%- if not enable_thinking | default(false) -%}
|
| 360 |
+
{{- '<|channel>thought\n<channel|>' -}}
|
| 361 |
+
{%- endif -%}
|
| 362 |
+
{%- endif -%}
|
| 363 |
+
{%- endif -%}
|
config.json
ADDED
|
@@ -0,0 +1,168 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Gemma4UnifiedForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"audio_config": {
|
| 6 |
+
"_name_or_path": "",
|
| 7 |
+
"architectures": null,
|
| 8 |
+
"audio_embed_dim": 640,
|
| 9 |
+
"chunk_size_feed_forward": 0,
|
| 10 |
+
"dtype": "bfloat16",
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "LABEL_0",
|
| 13 |
+
"1": "LABEL_1"
|
| 14 |
+
},
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"is_encoder_decoder": false,
|
| 17 |
+
"label2id": {
|
| 18 |
+
"LABEL_0": 0,
|
| 19 |
+
"LABEL_1": 1
|
| 20 |
+
},
|
| 21 |
+
"model_type": "gemma4_unified_audio",
|
| 22 |
+
"output_attentions": false,
|
| 23 |
+
"output_hidden_states": false,
|
| 24 |
+
"problem_type": null,
|
| 25 |
+
"return_dict": true,
|
| 26 |
+
"rms_norm_eps": 1e-06
|
| 27 |
+
},
|
| 28 |
+
"audio_token_id": 258881,
|
| 29 |
+
"boa_token_id": 256000,
|
| 30 |
+
"boi_token_id": 255999,
|
| 31 |
+
"dtype": "bfloat16",
|
| 32 |
+
"eoa_token_index": 258883,
|
| 33 |
+
"eoi_token_id": 258882,
|
| 34 |
+
"eos_token_id": 106,
|
| 35 |
+
"image_token_id": 258880,
|
| 36 |
+
"initializer_range": 0.02,
|
| 37 |
+
"model_type": "gemma4_unified",
|
| 38 |
+
"pad_token_id": 0,
|
| 39 |
+
"text_config": {
|
| 40 |
+
"attention_bias": false,
|
| 41 |
+
"attention_dropout": 0.0,
|
| 42 |
+
"attention_k_eq_v": true,
|
| 43 |
+
"bos_token_id": 2,
|
| 44 |
+
"dtype": "bfloat16",
|
| 45 |
+
"enable_moe_block": false,
|
| 46 |
+
"eos_token_id": 1,
|
| 47 |
+
"final_logit_softcapping": 30.0,
|
| 48 |
+
"global_head_dim": 512,
|
| 49 |
+
"head_dim": 256,
|
| 50 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
| 51 |
+
"hidden_size": 3840,
|
| 52 |
+
"hidden_size_per_layer_input": 0,
|
| 53 |
+
"initializer_range": 0.02,
|
| 54 |
+
"intermediate_size": 15360,
|
| 55 |
+
"layer_types": [
|
| 56 |
+
"sliding_attention",
|
| 57 |
+
"sliding_attention",
|
| 58 |
+
"sliding_attention",
|
| 59 |
+
"sliding_attention",
|
| 60 |
+
"sliding_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"sliding_attention",
|
| 63 |
+
"sliding_attention",
|
| 64 |
+
"sliding_attention",
|
| 65 |
+
"sliding_attention",
|
| 66 |
+
"sliding_attention",
|
| 67 |
+
"full_attention",
|
| 68 |
+
"sliding_attention",
|
| 69 |
+
"sliding_attention",
|
| 70 |
+
"sliding_attention",
|
| 71 |
+
"sliding_attention",
|
| 72 |
+
"sliding_attention",
|
| 73 |
+
"full_attention",
|
| 74 |
+
"sliding_attention",
|
| 75 |
+
"sliding_attention",
|
| 76 |
+
"sliding_attention",
|
| 77 |
+
"sliding_attention",
|
| 78 |
+
"sliding_attention",
|
| 79 |
+
"full_attention",
|
| 80 |
+
"sliding_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 |
+
"sliding_attention",
|
| 91 |
+
"full_attention",
|
| 92 |
+
"sliding_attention",
|
| 93 |
+
"sliding_attention",
|
| 94 |
+
"sliding_attention",
|
| 95 |
+
"sliding_attention",
|
| 96 |
+
"sliding_attention",
|
| 97 |
+
"full_attention",
|
| 98 |
+
"sliding_attention",
|
| 99 |
+
"sliding_attention",
|
| 100 |
+
"sliding_attention",
|
| 101 |
+
"sliding_attention",
|
| 102 |
+
"sliding_attention",
|
| 103 |
+
"full_attention"
|
| 104 |
+
],
|
| 105 |
+
"max_position_embeddings": 262144,
|
| 106 |
+
"model_type": "gemma4_unified_text",
|
| 107 |
+
"moe_intermediate_size": null,
|
| 108 |
+
"num_attention_heads": 16,
|
| 109 |
+
"num_experts": null,
|
| 110 |
+
"num_global_key_value_heads": 1,
|
| 111 |
+
"num_hidden_layers": 48,
|
| 112 |
+
"num_key_value_heads": 8,
|
| 113 |
+
"num_kv_shared_layers": 0,
|
| 114 |
+
"pad_token_id": 0,
|
| 115 |
+
"rms_norm_eps": 1e-06,
|
| 116 |
+
"rope_parameters": {
|
| 117 |
+
"full_attention": {
|
| 118 |
+
"partial_rotary_factor": 0.25,
|
| 119 |
+
"rope_theta": 1000000.0,
|
| 120 |
+
"rope_type": "proportional"
|
| 121 |
+
},
|
| 122 |
+
"sliding_attention": {
|
| 123 |
+
"rope_theta": 10000.0,
|
| 124 |
+
"rope_type": "default"
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"sliding_window": 1024,
|
| 128 |
+
"tie_word_embeddings": false,
|
| 129 |
+
"top_k_experts": null,
|
| 130 |
+
"use_bidirectional_attention": "vision",
|
| 131 |
+
"use_cache": true,
|
| 132 |
+
"use_double_wide_mlp": false,
|
| 133 |
+
"vocab_size": 262144,
|
| 134 |
+
"vocab_size_per_layer_input": 262144
|
| 135 |
+
},
|
| 136 |
+
"tie_word_embeddings": false,
|
| 137 |
+
"transformers_version": "5.10.2",
|
| 138 |
+
"unsloth_fixed": true,
|
| 139 |
+
"video_token_id": 258884,
|
| 140 |
+
"vision_config": {
|
| 141 |
+
"_name_or_path": "",
|
| 142 |
+
"architectures": null,
|
| 143 |
+
"chunk_size_feed_forward": 0,
|
| 144 |
+
"dtype": "bfloat16",
|
| 145 |
+
"id2label": {
|
| 146 |
+
"0": "LABEL_0",
|
| 147 |
+
"1": "LABEL_1"
|
| 148 |
+
},
|
| 149 |
+
"initializer_range": 0.02,
|
| 150 |
+
"is_encoder_decoder": false,
|
| 151 |
+
"label2id": {
|
| 152 |
+
"LABEL_0": 0,
|
| 153 |
+
"LABEL_1": 1
|
| 154 |
+
},
|
| 155 |
+
"mm_embed_dim": 3840,
|
| 156 |
+
"mm_posemb_size": 1120,
|
| 157 |
+
"model_type": "gemma4_unified_vision",
|
| 158 |
+
"num_soft_tokens": 280,
|
| 159 |
+
"output_attentions": false,
|
| 160 |
+
"output_hidden_states": false,
|
| 161 |
+
"output_proj_dims": 3840,
|
| 162 |
+
"patch_size": 16,
|
| 163 |
+
"pooling_kernel_size": 3,
|
| 164 |
+
"problem_type": null,
|
| 165 |
+
"return_dict": true,
|
| 166 |
+
"rms_norm_eps": 1e-06
|
| 167 |
+
}
|
| 168 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"suppress_tokens": [
|
| 11 |
+
258883,
|
| 12 |
+
258882
|
| 13 |
+
],
|
| 14 |
+
"temperature": 1.0,
|
| 15 |
+
"top_k": 64,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"transformers_version": "5.10.2"
|
| 18 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b70152facd1ca2657da0addd4f94b54da46ad16fbabe1c15e8944ae9dd639681
|
| 3 |
+
size 25932815544
|
processor_config.json
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"audio_ms_per_token": 40,
|
| 3 |
+
"audio_seq_length": 750,
|
| 4 |
+
"feature_extractor": {
|
| 5 |
+
"audio_samples_per_token": 640,
|
| 6 |
+
"feature_extractor_type": "Gemma4UnifiedAudioFeatureExtractor",
|
| 7 |
+
"feature_size": 640,
|
| 8 |
+
"padding_side": "right",
|
| 9 |
+
"padding_value": 0.0,
|
| 10 |
+
"return_attention_mask": true,
|
| 11 |
+
"sampling_rate": 16000
|
| 12 |
+
},
|
| 13 |
+
"image_processor": {
|
| 14 |
+
"do_convert_rgb": true,
|
| 15 |
+
"do_normalize": false,
|
| 16 |
+
"do_rescale": true,
|
| 17 |
+
"do_resize": true,
|
| 18 |
+
"image_mean": [
|
| 19 |
+
0.0,
|
| 20 |
+
0.0,
|
| 21 |
+
0.0
|
| 22 |
+
],
|
| 23 |
+
"image_processor_type": "Gemma4UnifiedImageProcessor",
|
| 24 |
+
"image_std": [
|
| 25 |
+
1.0,
|
| 26 |
+
1.0,
|
| 27 |
+
1.0
|
| 28 |
+
],
|
| 29 |
+
"max_soft_tokens": 280,
|
| 30 |
+
"patch_size": 16,
|
| 31 |
+
"pooling_kernel_size": 3,
|
| 32 |
+
"resample": 3,
|
| 33 |
+
"rescale_factor": 0.00392156862745098
|
| 34 |
+
},
|
| 35 |
+
"image_seq_length": 280,
|
| 36 |
+
"processor_class": "Gemma4UnifiedProcessor",
|
| 37 |
+
"video_processor": {
|
| 38 |
+
"do_convert_rgb": true,
|
| 39 |
+
"do_normalize": true,
|
| 40 |
+
"do_rescale": true,
|
| 41 |
+
"do_resize": true,
|
| 42 |
+
"do_sample_frames": true,
|
| 43 |
+
"image_mean": [
|
| 44 |
+
0.0,
|
| 45 |
+
0.0,
|
| 46 |
+
0.0
|
| 47 |
+
],
|
| 48 |
+
"image_std": [
|
| 49 |
+
1.0,
|
| 50 |
+
1.0,
|
| 51 |
+
1.0
|
| 52 |
+
],
|
| 53 |
+
"max_soft_tokens": 70,
|
| 54 |
+
"num_frames": 32,
|
| 55 |
+
"patch_size": 16,
|
| 56 |
+
"pooling_kernel_size": 3,
|
| 57 |
+
"resample": 3,
|
| 58 |
+
"rescale_factor": 0.00392156862745098,
|
| 59 |
+
"return_metadata": false,
|
| 60 |
+
"video_processor_type": "Gemma4UnifiedVideoProcessor"
|
| 61 |
+
}
|
| 62 |
+
}
|
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 +1,96 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"mask_token": "<mask>",
|
| 23 |
+
"model_max_length": 262144,
|
| 24 |
+
"model_specific_special_tokens": {
|
| 25 |
+
"audio_token": "<|audio|>",
|
| 26 |
+
"boa_token": "<|audio>",
|
| 27 |
+
"boi_token": "<|image>",
|
| 28 |
+
"eoa_token": "<audio|>",
|
| 29 |
+
"eoc_token": "<channel|>",
|
| 30 |
+
"eoi_token": "<image|>",
|
| 31 |
+
"eot_token": "<turn|>",
|
| 32 |
+
"escape_token": "<|\"|>",
|
| 33 |
+
"etc_token": "<tool_call|>",
|
| 34 |
+
"etd_token": "<tool|>",
|
| 35 |
+
"etr_token": "<tool_response|>",
|
| 36 |
+
"image_token": "<|image|>",
|
| 37 |
+
"soc_token": "<|channel>",
|
| 38 |
+
"sot_token": "<|turn>",
|
| 39 |
+
"stc_token": "<|tool_call>",
|
| 40 |
+
"std_token": "<|tool>",
|
| 41 |
+
"str_token": "<|tool_response>",
|
| 42 |
+
"think_token": "<|think|>"
|
| 43 |
+
},
|
| 44 |
+
"pad_token": "<pad>",
|
| 45 |
+
"padding_side": "left",
|
| 46 |
+
"processor_class": "Gemma4UnifiedProcessor",
|
| 47 |
+
"response_schema": {
|
| 48 |
+
"properties": {
|
| 49 |
+
"content": {
|
| 50 |
+
"type": "string"
|
| 51 |
+
},
|
| 52 |
+
"role": {
|
| 53 |
+
"const": "assistant"
|
| 54 |
+
},
|
| 55 |
+
"thinking": {
|
| 56 |
+
"type": "string"
|
| 57 |
+
},
|
| 58 |
+
"tool_calls": {
|
| 59 |
+
"items": {
|
| 60 |
+
"properties": {
|
| 61 |
+
"function": {
|
| 62 |
+
"properties": {
|
| 63 |
+
"arguments": {
|
| 64 |
+
"additionalProperties": {},
|
| 65 |
+
"type": "object",
|
| 66 |
+
"x-parser": "gemma4-tool-call"
|
| 67 |
+
},
|
| 68 |
+
"name": {
|
| 69 |
+
"type": "string"
|
| 70 |
+
}
|
| 71 |
+
},
|
| 72 |
+
"type": "object",
|
| 73 |
+
"x-regex": "call\\:(?P<name>\\w+)(?P<arguments>\\{.*\\})"
|
| 74 |
+
},
|
| 75 |
+
"type": {
|
| 76 |
+
"const": "function"
|
| 77 |
+
}
|
| 78 |
+
},
|
| 79 |
+
"type": "object"
|
| 80 |
+
},
|
| 81 |
+
"type": "array",
|
| 82 |
+
"x-regex-iterator": "<\\|tool_call>(.*?)<tool_call\\|>"
|
| 83 |
+
}
|
| 84 |
+
},
|
| 85 |
+
"type": "object",
|
| 86 |
+
"x-regex": "(\\<\\|channel\\>thought\\n(?P<thinking>.*?)\\<channel\\|\\>)?(?P<tool_calls>\\<\\|tool_call\\>.*\\<tool_call\\|\\>)?(?P<content>(?:(?!\\<turn\\|\\>)(?!\\<\\|tool_response\\>).)+)?(?:\\<turn\\|\\>|\\<\\|tool_response\\>)?"
|
| 87 |
+
},
|
| 88 |
+
"soc_token": "<|channel>",
|
| 89 |
+
"sot_token": "<|turn>",
|
| 90 |
+
"stc_token": "<|tool_call>",
|
| 91 |
+
"std_token": "<|tool>",
|
| 92 |
+
"str_token": "<|tool_response>",
|
| 93 |
+
"think_token": "<|think|>",
|
| 94 |
+
"tokenizer_class": "GemmaTokenizer",
|
| 95 |
+
"unk_token": "<unk>"
|
| 96 |
+
}
|