Text Generation
MLX
Safetensors
gemma4_text
gemma4
lemma
4bit
apple-silicon
on-device
text-only
lite
conversational
4-bit precision
Instructions to use lthn/lemer-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use lthn/lemer-lite with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("lthn/lemer-lite") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Pi new
How to use lthn/lemer-lite with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "lthn/lemer-lite"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "lthn/lemer-lite" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use lthn/lemer-lite with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "lthn/lemer-lite"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default lthn/lemer-lite
Run Hermes
hermes
- MLX LM
How to use lthn/lemer-lite with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "lthn/lemer-lite"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "lthn/lemer-lite" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lthn/lemer-lite", "messages": [ {"role": "user", "content": "Hello"} ] }'
init: lemer-lite v1 — text-only Q4 MLX, 2.47 GB, fits iPhone base
Browse filesStrip vision + audio from lemer-mlx-bf16 source, mlx_lm.convert flat Q4
(4.501 bits/weight). Architecture switched to Gemma4ForCausalLM. Same
LEK-aligned text reasoning as full lemer; multimodal towers removed for
sub-3GB ceiling targeting iPhone base / iPad / base Apple Silicon.
Trade: text only, flat Q4 not mixed-precision Q4. Best-effort tier.
- .gitattributes +1 -0
- LICENSE +287 -0
- README.md +62 -0
- chat_template.jinja +344 -0
- config.json +101 -0
- generation_config.json +14 -0
- model.safetensors +3 -0
- model.safetensors.index.json +1244 -0
- tokenizer.json +3 -0
- tokenizer_config.json +96 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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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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LICENSE
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+
for any liability incurred by, or claims asserted against such Contributor by
|
| 187 |
+
the fact You have accepted any warranty or additional liability.
|
| 188 |
+
|
| 189 |
+
10. Acceptance of the Licence
|
| 190 |
+
|
| 191 |
+
The provisions of this Licence can be accepted by clicking on an icon ‘I agree’
|
| 192 |
+
placed under the bottom of a window displaying the text of this Licence or by
|
| 193 |
+
affirming consent in any other similar way, in accordance with the rules of
|
| 194 |
+
applicable law. Clicking on that icon indicates your clear and irrevocable
|
| 195 |
+
acceptance of this Licence and all of its terms and conditions.
|
| 196 |
+
|
| 197 |
+
Similarly, you irrevocably accept this Licence and all of its terms and
|
| 198 |
+
conditions by exercising any rights granted to You by Article 2 of this Licence,
|
| 199 |
+
such as the use of the Work, the creation by You of a Derivative Work or the
|
| 200 |
+
Distribution or Communication by You of the Work or copies thereof.
|
| 201 |
+
|
| 202 |
+
11. Information to the public
|
| 203 |
+
|
| 204 |
+
In case of any Distribution or Communication of the Work by means of electronic
|
| 205 |
+
communication by You (for example, by offering to download the Work from a
|
| 206 |
+
remote location) the distribution channel or media (for example, a website) must
|
| 207 |
+
at least provide to the public the information requested by the applicable law
|
| 208 |
+
regarding the Licensor, the Licence and the way it may be accessible, concluded,
|
| 209 |
+
stored and reproduced by the Licensee.
|
| 210 |
+
|
| 211 |
+
12. Termination of the Licence
|
| 212 |
+
|
| 213 |
+
The Licence and the rights granted hereunder will terminate automatically upon
|
| 214 |
+
any breach by the Licensee of the terms of the Licence.
|
| 215 |
+
|
| 216 |
+
Such a termination will not terminate the licences of any person who has
|
| 217 |
+
received the Work from the Licensee under the Licence, provided such persons
|
| 218 |
+
remain in full compliance with the Licence.
|
| 219 |
+
|
| 220 |
+
13. Miscellaneous
|
| 221 |
+
|
| 222 |
+
Without prejudice of Article 9 above, the Licence represents the complete
|
| 223 |
+
agreement between the Parties as to the Work.
|
| 224 |
+
|
| 225 |
+
If any provision of the Licence is invalid or unenforceable under applicable
|
| 226 |
+
law, this will not affect the validity or enforceability of the Licence as a
|
| 227 |
+
whole. Such provision will be construed or reformed so as necessary to make it
|
| 228 |
+
valid and enforceable.
|
| 229 |
+
|
| 230 |
+
The European Commission may publish other linguistic versions or new versions of
|
| 231 |
+
this Licence or updated versions of the Appendix, so far this is required and
|
| 232 |
+
reasonable, without reducing the scope of the rights granted by the Licence. New
|
| 233 |
+
versions of the Licence will be published with a unique version number.
|
| 234 |
+
|
| 235 |
+
All linguistic versions of this Licence, approved by the European Commission,
|
| 236 |
+
have identical value. Parties can take advantage of the linguistic version of
|
| 237 |
+
their choice.
|
| 238 |
+
|
| 239 |
+
14. Jurisdiction
|
| 240 |
+
|
| 241 |
+
Without prejudice to specific agreement between parties,
|
| 242 |
+
|
| 243 |
+
- any litigation resulting from the interpretation of this License, arising
|
| 244 |
+
between the European Union institutions, bodies, offices or agencies, as a
|
| 245 |
+
Licensor, and any Licensee, will be subject to the jurisdiction of the Court
|
| 246 |
+
of Justice of the European Union, as laid down in article 272 of the Treaty on
|
| 247 |
+
the Functioning of the European Union,
|
| 248 |
+
|
| 249 |
+
- any litigation arising between other parties and resulting from the
|
| 250 |
+
interpretation of this License, will be subject to the exclusive jurisdiction
|
| 251 |
+
of the competent court where the Licensor resides or conducts its primary
|
| 252 |
+
business.
|
| 253 |
+
|
| 254 |
+
15. Applicable Law
|
| 255 |
+
|
| 256 |
+
Without prejudice to specific agreement between parties,
|
| 257 |
+
|
| 258 |
+
- this Licence shall be governed by the law of the European Union Member State
|
| 259 |
+
where the Licensor has his seat, resides or has his registered office,
|
| 260 |
+
|
| 261 |
+
- this licence shall be governed by Belgian law if the Licensor has no seat,
|
| 262 |
+
residence or registered office inside a European Union Member State.
|
| 263 |
+
|
| 264 |
+
Appendix
|
| 265 |
+
|
| 266 |
+
‘Compatible Licences’ according to Article 5 EUPL are:
|
| 267 |
+
|
| 268 |
+
- GNU General Public License (GPL) v. 2, v. 3
|
| 269 |
+
- GNU Affero General Public License (AGPL) v. 3
|
| 270 |
+
- Open Software License (OSL) v. 2.1, v. 3.0
|
| 271 |
+
- Eclipse Public License (EPL) v. 1.0
|
| 272 |
+
- CeCILL v. 2.0, v. 2.1
|
| 273 |
+
- Mozilla Public Licence (MPL) v. 2
|
| 274 |
+
- GNU Lesser General Public Licence (LGPL) v. 2.1, v. 3
|
| 275 |
+
- Creative Commons Attribution-ShareAlike v. 3.0 Unported (CC BY-SA 3.0) for
|
| 276 |
+
works other than software
|
| 277 |
+
- European Union Public Licence (EUPL) v. 1.1, v. 1.2
|
| 278 |
+
- Québec Free and Open-Source Licence — Reciprocity (LiLiQ-R) or Strong
|
| 279 |
+
Reciprocity (LiLiQ-R+).
|
| 280 |
+
|
| 281 |
+
The European Commission may update this Appendix to later versions of the above
|
| 282 |
+
licences without producing a new version of the EUPL, as long as they provide
|
| 283 |
+
the rights granted in Article 2 of this Licence and protect the covered Source
|
| 284 |
+
Code from exclusive appropriation.
|
| 285 |
+
|
| 286 |
+
All other changes or additions to this Appendix require the production of a new
|
| 287 |
+
EUPL version.
|
README.md
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: eupl-1.2
|
| 3 |
+
pipeline_tag: text-generation
|
| 4 |
+
library_name: mlx
|
| 5 |
+
base_model:
|
| 6 |
+
- lthn/lemer
|
| 7 |
+
base_model_relation: quantized
|
| 8 |
+
tags:
|
| 9 |
+
- gemma4
|
| 10 |
+
- lemma
|
| 11 |
+
- mlx
|
| 12 |
+
- 4bit
|
| 13 |
+
- apple-silicon
|
| 14 |
+
- on-device
|
| 15 |
+
- text-only
|
| 16 |
+
- lite
|
| 17 |
+
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
|
| 18 |
+
---
|
| 19 |
+
|
| 20 |
+
# Lemer-Lite — text-only, 2.5 GB, fits iPhone base
|
| 21 |
+
|
| 22 |
+
Stripped-down sibling of [`lthn/lemer`](https://huggingface.co/lthn/lemer) for devices that can't load the full multimodal build (≥3 GB ceiling).
|
| 23 |
+
|
| 24 |
+
| Variant | Size | Towers |
|
| 25 |
+
|---|---|---|
|
| 26 |
+
| [lthn/lemer](https://huggingface.co/lthn/lemer) | 4.06 GB | text + vision + audio |
|
| 27 |
+
| **lthn/lemer-lite** (you are here) | **2.47 GB** | text only |
|
| 28 |
+
|
| 29 |
+
## What it is
|
| 30 |
+
|
| 31 |
+
Same LEK-aligned Gemma 4 E2B base as [lemer](https://huggingface.co/lthn/lemer), with vision and audio towers stripped and the text path quantised flat 4-bit (4.501 bits/weight) instead of mixed-precision.
|
| 32 |
+
|
| 33 |
+
The Lethean Ethical Kernel (LEK) is fully present in the weights — the consent-based reasoning behaviour is identical to the full lemer.
|
| 34 |
+
|
| 35 |
+
## Trade-offs (the honest version)
|
| 36 |
+
|
| 37 |
+
This is a **best-effort tier** for users on smaller devices. The `-lite` prefix is a promise: we are packing this tight, results will vary, but you get to load and run the model.
|
| 38 |
+
|
| 39 |
+
- **Text only** — no image input, no audio input. If your use case needs eyes, run the full lemer on a Pro-class device.
|
| 40 |
+
- **Flat Q4** instead of mixed-precision Q4 — fluency is solid, rare-token recall slightly worse than the full lemer.
|
| 41 |
+
- **Same LEK alignment** — the ethical reasoning is in the text path, which is preserved.
|
| 42 |
+
|
| 43 |
+
## Targets
|
| 44 |
+
|
| 45 |
+
- iPhone base (≥3 GB free), iPad, base-spec Apple Silicon laptops.
|
| 46 |
+
- Anywhere the full 4 GB lemer would refuse to load.
|
| 47 |
+
|
| 48 |
+
## Loading
|
| 49 |
+
|
| 50 |
+
```python
|
| 51 |
+
from mlx_lm import load, generate
|
| 52 |
+
model, tokenizer = load("lthn/lemer-lite")
|
| 53 |
+
prompt = tokenizer.apply_chat_template(
|
| 54 |
+
[{"role": "user", "content": "Hello"}],
|
| 55 |
+
tokenize=False, add_generation_prompt=True,
|
| 56 |
+
)
|
| 57 |
+
print(generate(model, tokenizer, prompt=prompt, max_tokens=200))
|
| 58 |
+
```
|
| 59 |
+
|
| 60 |
+
## License
|
| 61 |
+
|
| 62 |
+
EUPL-1.2.
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,344 @@
|
|
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|
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|
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|
|
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|
|
|
|
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|
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|
|
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|
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|
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|
|
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|
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|
|
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|
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|
|
|
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|
|
|
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|
|
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|
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|
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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 |
+
{%- set add_comma = false -%}
|
| 6 |
+
{%- if 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([])) -}}
|
| 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 |
+
|
| 182 |
+
{#- Inject Thinking token at the very top of the FIRST system turn -#}
|
| 183 |
+
{%- if enable_thinking is defined and enable_thinking -%}
|
| 184 |
+
{{- '<|think|>\n' -}}
|
| 185 |
+
{%- set ns.prev_message_type = 'think' -%}
|
| 186 |
+
{%- endif -%}
|
| 187 |
+
|
| 188 |
+
{%- if messages[0]['role'] in ['system', 'developer'] -%}
|
| 189 |
+
{{- messages[0]['content'] | trim -}}
|
| 190 |
+
{%- set loop_messages = messages[1:] -%}
|
| 191 |
+
{%- endif -%}
|
| 192 |
+
|
| 193 |
+
{%- if tools -%}
|
| 194 |
+
{%- for tool in tools %}
|
| 195 |
+
{{- '<|tool>' -}}
|
| 196 |
+
{{- format_function_declaration(tool) | trim -}}
|
| 197 |
+
{{- '<tool|>' -}}
|
| 198 |
+
{%- endfor %}
|
| 199 |
+
{%- set ns.prev_message_type = 'tool' -%}
|
| 200 |
+
{%- endif -%}
|
| 201 |
+
|
| 202 |
+
{{- '<turn|>\n' -}}
|
| 203 |
+
{%- endif %}
|
| 204 |
+
|
| 205 |
+
{#- Pre-scan: find last user message index for reasoning guard -#}
|
| 206 |
+
{%- set ns_turn = namespace(last_user_idx=-1) -%}
|
| 207 |
+
{%- for i in range(loop_messages | length) -%}
|
| 208 |
+
{%- if loop_messages[i]['role'] == 'user' -%}
|
| 209 |
+
{%- set ns_turn.last_user_idx = i -%}
|
| 210 |
+
{%- endif -%}
|
| 211 |
+
{%- endfor -%}
|
| 212 |
+
|
| 213 |
+
{#- Loop through messages -#}
|
| 214 |
+
{%- for message in loop_messages -%}
|
| 215 |
+
{%- if message['role'] != 'tool' -%}
|
| 216 |
+
{%- set ns.prev_message_type = None -%}
|
| 217 |
+
{%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
|
| 218 |
+
{#- Detect continuation: suppress duplicate <|turn>model when previous non-tool message was also assistant -#}
|
| 219 |
+
{%- set prev_nt = namespace(role=None, found=false) -%}
|
| 220 |
+
{%- if loop.index0 > 0 -%}
|
| 221 |
+
{%- for j in range(loop.index0 - 1, -1, -1) -%}
|
| 222 |
+
{%- if not prev_nt.found -%}
|
| 223 |
+
{%- if loop_messages[j]['role'] != 'tool' -%}
|
| 224 |
+
{%- set prev_nt.role = loop_messages[j]['role'] -%}
|
| 225 |
+
{%- set prev_nt.found = true -%}
|
| 226 |
+
{%- endif -%}
|
| 227 |
+
{%- endif -%}
|
| 228 |
+
{%- endfor -%}
|
| 229 |
+
{%- endif -%}
|
| 230 |
+
{%- set continue_same_model_turn = (role == 'model' and prev_nt.role == 'assistant') -%}
|
| 231 |
+
{%- if not continue_same_model_turn -%}
|
| 232 |
+
{{- '<|turn>' + role + '\n' }}
|
| 233 |
+
{%- endif -%}
|
| 234 |
+
|
| 235 |
+
{#- Render reasoning/reasoning_content as thinking channel -#}
|
| 236 |
+
{%- set thinking_text = message.get('reasoning') or message.get('reasoning_content') -%}
|
| 237 |
+
{%- if thinking_text and loop.index0 > ns_turn.last_user_idx and message.get('tool_calls') -%}
|
| 238 |
+
{{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
|
| 239 |
+
{%- endif -%}
|
| 240 |
+
|
| 241 |
+
{%- if message['tool_calls'] -%}
|
| 242 |
+
{%- for tool_call in message['tool_calls'] -%}
|
| 243 |
+
{%- set function = tool_call['function'] -%}
|
| 244 |
+
{{- '<|tool_call>call:' + function['name'] + '{' -}}
|
| 245 |
+
{%- if function['arguments'] is mapping -%}
|
| 246 |
+
{%- set ns_args = namespace(found_first=false) -%}
|
| 247 |
+
{%- for key, value in function['arguments'] | dictsort -%}
|
| 248 |
+
{%- if ns_args.found_first %},{% endif -%}
|
| 249 |
+
{%- set ns_args.found_first = true -%}
|
| 250 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 251 |
+
{%- endfor -%}
|
| 252 |
+
{%- elif function['arguments'] is string -%}
|
| 253 |
+
{{- function['arguments'] -}}
|
| 254 |
+
{%- endif -%}
|
| 255 |
+
{{- '}<tool_call|>' -}}
|
| 256 |
+
{%- endfor -%}
|
| 257 |
+
{%- set ns.prev_message_type = 'tool_call' -%}
|
| 258 |
+
{%- endif -%}
|
| 259 |
+
|
| 260 |
+
{%- set ns_tr_out = namespace(flag=false) -%}
|
| 261 |
+
{%- if message.get('tool_responses') -%}
|
| 262 |
+
{#- Legacy: tool_responses embedded on the assistant message (Google/Gemma native) -#}
|
| 263 |
+
{%- for tool_response in message['tool_responses'] -%}
|
| 264 |
+
{{- format_tool_response_block(tool_response['name'] | default('unknown'), tool_response['response']) -}}
|
| 265 |
+
{%- set ns_tr_out.flag = true -%}
|
| 266 |
+
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 267 |
+
{%- endfor -%}
|
| 268 |
+
{%- elif message.get('tool_calls') -%}
|
| 269 |
+
{#- OpenAI Chat Completions: forward-scan consecutive role:tool messages -#}
|
| 270 |
+
{%- set ns_tool_scan = namespace(stopped=false) -%}
|
| 271 |
+
{%- for k in range(loop.index0 + 1, loop_messages | length) -%}
|
| 272 |
+
{%- if ns_tool_scan.stopped -%}
|
| 273 |
+
{%- elif loop_messages[k]['role'] != 'tool' -%}
|
| 274 |
+
{%- set ns_tool_scan.stopped = true -%}
|
| 275 |
+
{%- else -%}
|
| 276 |
+
{%- set follow = loop_messages[k] -%}
|
| 277 |
+
{#- Resolve tool_call_id to function name -#}
|
| 278 |
+
{%- set ns_tname = namespace(name=follow.get('name') | default('unknown')) -%}
|
| 279 |
+
{%- for tc in message['tool_calls'] -%}
|
| 280 |
+
{%- if tc.get('id') == follow.get('tool_call_id') -%}
|
| 281 |
+
{%- set ns_tname.name = tc['function']['name'] -%}
|
| 282 |
+
{%- endif -%}
|
| 283 |
+
{%- endfor -%}
|
| 284 |
+
{#- Handle content as string or content-parts array -#}
|
| 285 |
+
{%- set tool_body = follow.get('content') -%}
|
| 286 |
+
{%- if tool_body is string -%}
|
| 287 |
+
{{- format_tool_response_block(ns_tname.name, tool_body) -}}
|
| 288 |
+
{%- elif tool_body is sequence and tool_body is not string -%}
|
| 289 |
+
{%- set ns_txt = namespace(s='') -%}
|
| 290 |
+
{%- for part in tool_body -%}
|
| 291 |
+
{%- if part.get('type') == 'text' -%}
|
| 292 |
+
{%- set ns_txt.s = ns_txt.s + (part.get('text') | default('')) -%}
|
| 293 |
+
{%- endif -%}
|
| 294 |
+
{%- endfor -%}
|
| 295 |
+
{{- format_tool_response_block(ns_tname.name, ns_txt.s) -}}
|
| 296 |
+
{%- else -%}
|
| 297 |
+
{{- format_tool_response_block(ns_tname.name, tool_body) -}}
|
| 298 |
+
{%- endif -%}
|
| 299 |
+
{%- set ns_tr_out.flag = true -%}
|
| 300 |
+
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 301 |
+
{%- endif -%}
|
| 302 |
+
{%- endfor -%}
|
| 303 |
+
{%- endif -%}
|
| 304 |
+
|
| 305 |
+
{%- if message['content'] is string -%}
|
| 306 |
+
{%- if role == 'model' -%}
|
| 307 |
+
{{- strip_thinking(message['content']) -}}
|
| 308 |
+
{%- else -%}
|
| 309 |
+
{{- message['content'] | trim -}}
|
| 310 |
+
{%- endif -%}
|
| 311 |
+
{%- elif message['content'] is sequence -%}
|
| 312 |
+
{%- for item in message['content'] -%}
|
| 313 |
+
{%- if item['type'] == 'text' -%}
|
| 314 |
+
{%- if role == 'model' -%}
|
| 315 |
+
{{- strip_thinking(item['text']) -}}
|
| 316 |
+
{%- else -%}
|
| 317 |
+
{{- item['text'] | trim -}}
|
| 318 |
+
{%- endif -%}
|
| 319 |
+
{%- elif item['type'] == 'image' -%}
|
| 320 |
+
{{- '<|image|>' -}}
|
| 321 |
+
{%- set ns.prev_message_type = 'image' -%}
|
| 322 |
+
{%- elif item['type'] == 'audio' -%}
|
| 323 |
+
{{- '<|audio|>' -}}
|
| 324 |
+
{%- set ns.prev_message_type = 'audio' -%}
|
| 325 |
+
{%- elif item['type'] == 'video' -%}
|
| 326 |
+
{{- '<|video|>' -}}
|
| 327 |
+
{%- set ns.prev_message_type = 'video' -%}
|
| 328 |
+
{%- endif -%}
|
| 329 |
+
{%- endfor -%}
|
| 330 |
+
{%- endif -%}
|
| 331 |
+
|
| 332 |
+
{%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
|
| 333 |
+
{{- '<|tool_response>' -}}
|
| 334 |
+
{%- elif not (ns_tr_out.flag and not message.get('content')) -%}
|
| 335 |
+
{{- '<turn|>\n' -}}
|
| 336 |
+
{%- endif -%}
|
| 337 |
+
{%- endif -%}
|
| 338 |
+
{%- endfor -%}
|
| 339 |
+
|
| 340 |
+
{%- if add_generation_prompt -%}
|
| 341 |
+
{%- if ns.prev_message_type != 'tool_response' and ns.prev_message_type != 'tool_call' -%}
|
| 342 |
+
{{- '<|turn>model\n' -}}
|
| 343 |
+
{%- endif -%}
|
| 344 |
+
{%- endif -%}
|
config.json
ADDED
|
@@ -0,0 +1,101 @@
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
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|
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|
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|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Gemma4ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attention_k_eq_v": false,
|
| 8 |
+
"bos_token_id": 2,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"enable_moe_block": false,
|
| 11 |
+
"eos_token_id": [
|
| 12 |
+
1,
|
| 13 |
+
106,
|
| 14 |
+
50
|
| 15 |
+
],
|
| 16 |
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"expert_intermediate_size": null,
|
| 17 |
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|
| 18 |
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"global_head_dim": 512,
|
| 19 |
+
"head_dim": 256,
|
| 20 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
| 21 |
+
"hidden_size": 1536,
|
| 22 |
+
"hidden_size_per_layer_input": 256,
|
| 23 |
+
"initializer_range": 0.02,
|
| 24 |
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"intermediate_size": 6144,
|
| 25 |
+
"layer_types": [
|
| 26 |
+
"sliding_attention",
|
| 27 |
+
"sliding_attention",
|
| 28 |
+
"sliding_attention",
|
| 29 |
+
"sliding_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"sliding_attention",
|
| 32 |
+
"sliding_attention",
|
| 33 |
+
"sliding_attention",
|
| 34 |
+
"sliding_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"sliding_attention",
|
| 37 |
+
"sliding_attention",
|
| 38 |
+
"sliding_attention",
|
| 39 |
+
"sliding_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"sliding_attention",
|
| 42 |
+
"sliding_attention",
|
| 43 |
+
"sliding_attention",
|
| 44 |
+
"sliding_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"sliding_attention",
|
| 47 |
+
"sliding_attention",
|
| 48 |
+
"sliding_attention",
|
| 49 |
+
"sliding_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"sliding_attention",
|
| 52 |
+
"sliding_attention",
|
| 53 |
+
"sliding_attention",
|
| 54 |
+
"sliding_attention",
|
| 55 |
+
"full_attention",
|
| 56 |
+
"sliding_attention",
|
| 57 |
+
"sliding_attention",
|
| 58 |
+
"sliding_attention",
|
| 59 |
+
"sliding_attention",
|
| 60 |
+
"full_attention"
|
| 61 |
+
],
|
| 62 |
+
"max_position_embeddings": 131072,
|
| 63 |
+
"model_type": "gemma4_text",
|
| 64 |
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"num_attention_heads": 8,
|
| 65 |
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"num_experts": null,
|
| 66 |
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|
| 67 |
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"num_hidden_layers": 35,
|
| 68 |
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"num_key_value_heads": 1,
|
| 69 |
+
"num_kv_shared_layers": 20,
|
| 70 |
+
"pad_token_id": 0,
|
| 71 |
+
"quantization": {
|
| 72 |
+
"group_size": 64,
|
| 73 |
+
"bits": 4,
|
| 74 |
+
"mode": "affine"
|
| 75 |
+
},
|
| 76 |
+
"quantization_config": {
|
| 77 |
+
"group_size": 64,
|
| 78 |
+
"bits": 4,
|
| 79 |
+
"mode": "affine"
|
| 80 |
+
},
|
| 81 |
+
"rms_norm_eps": 1e-06,
|
| 82 |
+
"rope_parameters": {
|
| 83 |
+
"full_attention": {
|
| 84 |
+
"partial_rotary_factor": 0.25,
|
| 85 |
+
"rope_theta": 1000000.0,
|
| 86 |
+
"rope_type": "proportional"
|
| 87 |
+
},
|
| 88 |
+
"sliding_attention": {
|
| 89 |
+
"rope_theta": 10000.0,
|
| 90 |
+
"rope_type": "default"
|
| 91 |
+
}
|
| 92 |
+
},
|
| 93 |
+
"sliding_window": 512,
|
| 94 |
+
"tie_word_embeddings": true,
|
| 95 |
+
"top_k_experts": null,
|
| 96 |
+
"use_bidirectional_attention": null,
|
| 97 |
+
"use_cache": true,
|
| 98 |
+
"use_double_wide_mlp": true,
|
| 99 |
+
"vocab_size": 262144,
|
| 100 |
+
"vocab_size_per_layer_input": 262144
|
| 101 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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.dev0"
|
| 14 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:efc334d160e31af92b39700084f21bf82c242e5bded16a2141db4ae017e48124
|
| 3 |
+
size 2614750951
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,1244 @@
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|
|
|
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| 1 |
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| 2 |
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
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| 3 |
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size 32169626
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,96 @@
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
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|
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|
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|
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|
|
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|
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|
|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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| 3 |
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| 4 |
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| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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| 14 |
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| 15 |
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|
| 16 |
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| 17 |
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|
| 18 |
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],
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| 19 |
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| 25 |
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| 26 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 35 |
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| 36 |
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| 37 |
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| 42 |
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},
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| 44 |
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| 45 |
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"processor_class": "Gemma4Processor",
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| 46 |
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| 47 |
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|
| 48 |
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| 49 |
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| 51 |
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"role": {
|
| 52 |
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|
| 53 |
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| 54 |
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| 56 |
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},
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| 57 |
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| 58 |
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|
| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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"additionalProperties": {},
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| 64 |
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"type": "object",
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| 65 |
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"x-parser": "gemma4-tool-call"
|
| 66 |
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},
|
| 67 |
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"name": {
|
| 68 |
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"type": "string"
|
| 69 |
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}
|
| 70 |
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},
|
| 71 |
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"type": "object",
|
| 72 |
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"x-regex": "call\\:(?P<name>\\w+)(?P<arguments>\\{.*\\})"
|
| 73 |
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},
|
| 74 |
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"type": {
|
| 75 |
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"const": "function"
|
| 76 |
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}
|
| 77 |
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},
|
| 78 |
+
"type": "object"
|
| 79 |
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},
|
| 80 |
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"type": "array",
|
| 81 |
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"x-regex-iterator": "<\\|tool_call>(.*?)<tool_call\\|>"
|
| 82 |
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}
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| 83 |
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},
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| 84 |
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"type": "object",
|
| 85 |
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"x-regex": "(\\<\\|channel\\>thought\\n(?P<thinking>.*?)\\<channel\\|\\>)?(?P<content>(?:(?!\\<\\|tool_call\\>)(?!\\<turn\\|\\>).)+)?(?P<tool_calls>\\<\\|tool_call\\>.*\\<tool_call\\|\\>)?(?:\\<turn\\|\\>)?"
|
| 86 |
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},
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| 87 |
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"soc_token": "<|channel>",
|
| 88 |
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"sot_token": "<|turn>",
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| 90 |
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"tokenizer_class": "GemmaTokenizer",
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| 94 |
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|
| 95 |
+
"unk_token": "<unk>"
|
| 96 |
+
}
|