Text Generation
Transformers
Safetensors
PEFT
Basque
Spanish
English
qwen3_5
image-text-to-text
unsloth
trl
sft
lora
qwen3_8
basque
euskara
translation
conversational
Instructions to use mikelalda/qwen3.8-27b_euskara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikelalda/qwen3.8-27b_euskara with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="mikelalda/qwen3.8-27b_euskara") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mikelalda/qwen3.8-27b_euskara") model = AutoModelForMultimodalLM.from_pretrained("mikelalda/qwen3.8-27b_euskara", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - PEFT
How to use mikelalda/qwen3.8-27b_euskara with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use mikelalda/qwen3.8-27b_euskara with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "mikelalda/qwen3.8-27b_euskara" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mikelalda/qwen3.8-27b_euskara", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/mikelalda/qwen3.8-27b_euskara
- SGLang
How to use mikelalda/qwen3.8-27b_euskara with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "mikelalda/qwen3.8-27b_euskara" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mikelalda/qwen3.8-27b_euskara", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "mikelalda/qwen3.8-27b_euskara" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mikelalda/qwen3.8-27b_euskara", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio
How to use mikelalda/qwen3.8-27b_euskara with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for mikelalda/qwen3.8-27b_euskara to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for mikelalda/qwen3.8-27b_euskara to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for mikelalda/qwen3.8-27b_euskara to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="mikelalda/qwen3.8-27b_euskara", max_seq_length=2048, ) - Docker Model Runner
How to use mikelalda/qwen3.8-27b_euskara with Docker Model Runner:
docker model run hf.co/mikelalda/qwen3.8-27b_euskara
Qwen3.5-27B ALIA SFT LoRA merged (bf16)
Browse files- .gitattributes +1 -0
- README.md +279 -0
- chat_template.jinja +184 -0
- config.json +144 -0
- generation_config.json +13 -0
- model-00001-of-00018.safetensors +3 -0
- model-00002-of-00018.safetensors +3 -0
- model-00003-of-00018.safetensors +3 -0
- model-00004-of-00018.safetensors +3 -0
- model-00005-of-00018.safetensors +3 -0
- model-00006-of-00018.safetensors +3 -0
- model-00007-of-00018.safetensors +3 -0
- model-00008-of-00018.safetensors +3 -0
- model-00009-of-00018.safetensors +3 -0
- model-00010-of-00018.safetensors +3 -0
- model-00011-of-00018.safetensors +3 -0
- model-00012-of-00018.safetensors +3 -0
- model-00013-of-00018.safetensors +3 -0
- model-00014-of-00018.safetensors +3 -0
- model-00015-of-00018.safetensors +3 -0
- model-00016-of-00018.safetensors +3 -0
- model-00017-of-00018.safetensors +3 -0
- model-00018-of-00018.safetensors +3 -0
- model.safetensors.index.json +0 -0
- processor_config.json +60 -0
- tokenizer.json +3 -0
- tokenizer_config.json +300 -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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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
+
---
|
| 2 |
+
base_model: unsloth/Qwen3.8-27B
|
| 3 |
+
library_name: transformers
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
license: cc-by-sa-4.0
|
| 6 |
+
language:
|
| 7 |
+
- eu
|
| 8 |
+
- es
|
| 9 |
+
- en
|
| 10 |
+
datasets:
|
| 11 |
+
- HiTZ/RAG_eu
|
| 12 |
+
- HiTZ/magpie-en-eu-reasoning-instructions-qwen3
|
| 13 |
+
- HiTZ/ALIA_syntethic_MT_V2
|
| 14 |
+
tags:
|
| 15 |
+
- unsloth
|
| 16 |
+
- trl
|
| 17 |
+
- sft
|
| 18 |
+
- lora
|
| 19 |
+
- peft
|
| 20 |
+
- qwen3_8
|
| 21 |
+
- basque
|
| 22 |
+
- euskara
|
| 23 |
+
- translation
|
| 24 |
+
---
|
| 25 |
+
|
| 26 |
+
# qwen27b_alia_tuned
|
| 27 |
+
|
| 28 |
+
**Qwen3.8-27B** modeloaren doikuntza fina (SFT LoRArekin), **euskarara**
|
| 29 |
+
bideratua, gaztelania eta ingelesa laguntza-hizkuntza gisa erabilita.
|
| 30 |
+
[HiTZ](https://huggingface.co/HiTZ) taldearen corpusekin entrenatu da hiru
|
| 31 |
+
gaitasun lantzeko: elkarrizketa bidezko instrukzioak, norabide anitzeko
|
| 32 |
+
itzulpena eta testu batean oinarritutako lana (laburpena eta erantzun
|
| 33 |
+
daitekeen erabakitzea).
|
| 34 |
+
|
| 35 |
+
> **Egoera: ebaluatu gabe.** Ez da benchmarkik exekutatu modelo honekin.
|
| 36 |
+
> Errendimendu-atala nahita dago hutsik; oraindik ez dago kalitateari buruzko
|
| 37 |
+
> baieztapenik bermatuko duen daturik.
|
| 38 |
+
|
| 39 |
+
---
|
| 40 |
+
|
| 41 |
+
## Modeloaren xehetasunak
|
| 42 |
+
|
| 43 |
+
| | |
|
| 44 |
+
|---|---|
|
| 45 |
+
| Oinarrizko modeloa | [`unsloth/Qwen3.8-27B`](https://huggingface.co/unsloth/Qwen3.8-27B) (`Qwen3_5ForConditionalGeneration`) |
|
| 46 |
+
| Metodoa | LoRA (PEFT), [Unsloth](https://github.com/unslothai/unsloth) + TRL `SFTTrainer` bidez |
|
| 47 |
+
| Zehaztasuna | BF16 (entrenamenduan kuantizaziorik gabe) |
|
| 48 |
+
| Sekuentzia-luzera | 4096 |
|
| 49 |
+
| Hizkuntzak | euskara (eu), gaztelania (es), ingelesa (en) |
|
| 50 |
+
|
| 51 |
+
Qwen3.8-27B **arreta linealeko modelo hibridoa** da (*gated delta rule*).
|
| 52 |
+
Zentzuzko errendimenduarekin entrenatu edo zerbitzatzeko,
|
| 53 |
+
`flash-linear-attention` instalatuta edukitzea komeni da; hura gabe,
|
| 54 |
+
`transformers` PyTorch hutsezko inplementazio askoz motelago batera igarotzen
|
| 55 |
+
da.
|
| 56 |
+
|
| 57 |
+
Oinarrizko modeloa **multimodala** da (irudiak eta bideoak onartzen ditu).
|
| 58 |
+
Doikuntza honek testu-dorreko moduluak baino ez ditu ukitu, eta **ikusmen-bidea
|
| 59 |
+
ez da entrenatu edo egiaztatu**: oinarrizko modelotik heredatutakotzat hartu.
|
| 60 |
+
|
| 61 |
+
### LoRA konfigurazioa
|
| 62 |
+
|
| 63 |
+
| Parametroa | Balioa |
|
| 64 |
+
|---|---|
|
| 65 |
+
| `r` | 32 |
|
| 66 |
+
| `lora_alpha` | 32 |
|
| 67 |
+
| `lora_dropout` | 0 |
|
| 68 |
+
| `bias` | `none` |
|
| 69 |
+
| Moduluak | `q_proj`, `k_proj`, `v_proj`, `o_proj`, `gate_proj`, `up_proj`, `down_proj` |
|
| 70 |
+
| Gradient checkpointing | `True` |
|
| 71 |
+
|
| 72 |
+
### Entrenamenduaren hiperparametroak
|
| 73 |
+
|
| 74 |
+
| Parametroa | Balioa |
|
| 75 |
+
|---|---|
|
| 76 |
+
| Epokak | 0,276 |
|
| 77 |
+
| Gailu bakoitzeko lotea | 8 |
|
| 78 |
+
| Gradiente-metaketa | 2 (lote eraginkorra: **8**) |
|
| 79 |
+
| Learning rate | 1.5e-4 |
|
| 80 |
+
| Scheduler | cosine, warmup 3 % |
|
| 81 |
+
| Optimizatzailea | `adamw_8bit` |
|
| 82 |
+
| Weight decay | 0.01 |
|
| 83 |
+
| Hazia | 3407 |
|
| 84 |
+
| Hardware | 1 × NVIDIA RTX PRO 6000 Blackwell (96 GB) |
|
| 85 |
+
|
| 86 |
+
---
|
| 87 |
+
|
| 88 |
+
## Entrenamendu-datuak
|
| 89 |
+
|
| 90 |
+
Hiru corpusak `text` eremu bakarrean homogeneizatzen dira, **modeloaren
|
| 91 |
+
berezko txat-txantiloia** aplikatuta, eta ausaz nahasten dira (3407 hazia).
|
| 92 |
+
|
| 93 |
+
### 1. `HiTZ/magpie-en-eu-reasoning-instructions-qwen3` — instrukzioak
|
| 94 |
+
|
| 95 |
+
`accepted_eu` eta `accepted_en` splitak, bakoitzetik 25 000 adibide (~50 000).
|
| 96 |
+
`rejected_*` splitak baztertu egiten dira. Elkarrizketak `messages` eremutik
|
| 97 |
+
hartzen dira, txanda bakoitzeko `reasoning_content` kenduta.
|
| 98 |
+
|
| 99 |
+
### 2. `HiTZ/ALIA_syntethic_MT_V2` — itzulpena
|
| 100 |
+
|
| 101 |
+
Hiru konfigurazioetako bakoitzetik 5 000 errenkada (`berria_eu_en_es`,
|
| 102 |
+
`bopv_eu_en_es`, `parliament_eu_en_es`). Errenkada bakoitzak norabide **bat**
|
| 103 |
+
sortzen du, indizearen arabera txandakatuz laurak neurri berean betetzeko:
|
| 104 |
+
|
| 105 |
+
`eu → es` · `es → eu` · `eu → en` · `en → eu`
|
| 106 |
+
|
| 107 |
+
`berria` konfigurazioan, SONAR puntuazioa < 0.6 duten itzulpenak baztertzen
|
| 108 |
+
dira.
|
| 109 |
+
|
| 110 |
+
### 3. `HiTZ/RAG_eu` — testuan oinarritzea
|
| 111 |
+
|
| 112 |
+
`RAG_eu` **ebaluazio-bankua** da, ez entrenamendu-corpusa: ez du erantzunen
|
| 113 |
+
zutaberik. Daukan edukitik bi ataza gainbegiratu sortu ziren:
|
| 114 |
+
|
| 115 |
+
- **Testuan oinarritutako laburpena** — `documents` konfigurazioa (1 492
|
| 116 |
+
dokumentu): `text` → `summary`.
|
| 117 |
+
- **Erantzun daitekeen erabakitzea** — `QAP` konfigurazioa (~7 465 pare),
|
| 118 |
+
`documents` konfigurazioarekin `text_id` bidez lotuta, galdera bakoitzari
|
| 119 |
+
benetako testuingurua eransteko.
|
| 120 |
+
|
| 121 |
+
> ⚠️ **Ebaluazio-kutsadura.** Modeloak `HiTZ/RAG_eu` ikusi du entrenamenduan;
|
| 122 |
+
> beraz, **ez da baliozkoa benchmark horrekin ebaluatzea**. RAG_eu gainean
|
| 123 |
+
> neurtu behar baduzu, berriro entrenatu `train.py` fitxategian
|
| 124 |
+
> `USE_RAG_EU = False` ezarrita.
|
| 125 |
+
|
| 126 |
+
Guztira, gutxi gorabehera: **~74 000 adibide** (kalitate-iragazkiak aplikatu
|
| 127 |
+
eta `text_id` umezurtzak baztertu aurretik).
|
| 128 |
+
|
| 129 |
+
---
|
| 130 |
+
|
| 131 |
+
## Prompt-formatuak
|
| 132 |
+
|
| 133 |
+
Entrenamenduak Qwen3.5 modeloaren berezko txantiloia erabiltzen du
|
| 134 |
+
**`enable_thinking=False`** aukerarekin, target guztiak erantzun zuzenak baitira.
|
| 135 |
+
Arrazoiketa-moduan horrek duen eragina ikusteko, irakurri mugen atala.
|
| 136 |
+
|
| 137 |
+
**Itzulpena** — system:
|
| 138 |
+
|
| 139 |
+
```
|
| 140 |
+
Itzultzaile profesionala zara. Eres un traductor profesional.
|
| 141 |
+
```
|
| 142 |
+
|
| 143 |
+
user:
|
| 144 |
+
|
| 145 |
+
```
|
| 146 |
+
Itzuli ondorengo testua euskarara / Traduce el siguiente texto al euskera:
|
| 147 |
+
{texto}
|
| 148 |
+
```
|
| 149 |
+
|
| 150 |
+
(erabilitako hizkuntza-helburu pareak hauek izan ziren:
|
| 151 |
+
`euskarara`/`al euskera`, `gaztelaniara`/`al español`,
|
| 152 |
+
`ingelesera`/`al inglés`)
|
| 153 |
+
|
| 154 |
+
**Testuan oinarritzea** — system:
|
| 155 |
+
|
| 156 |
+
```
|
| 157 |
+
Laguntzaile zehatza zara. Erantzun emandako testuan oinarrituta soilik.
|
| 158 |
+
Eres un asistente preciso. Responde basándote estrictamente en el texto proporcionado.
|
| 159 |
+
```
|
| 160 |
+
|
| 161 |
+
user (laburpena):
|
| 162 |
+
|
| 163 |
+
```
|
| 164 |
+
Testua / Texto:
|
| 165 |
+
"""
|
| 166 |
+
{texto}
|
| 167 |
+
"""
|
| 168 |
+
|
| 169 |
+
Laburtu testua / Resume el texto.
|
| 170 |
+
```
|
| 171 |
+
|
| 172 |
+
user (erantzun daitekeen erabakitzea):
|
| 173 |
+
|
| 174 |
+
```
|
| 175 |
+
Testua / Contexto:
|
| 176 |
+
"""
|
| 177 |
+
{contexto}
|
| 178 |
+
"""
|
| 179 |
+
|
| 180 |
+
Galdera / Pregunta: {pregunta}
|
| 181 |
+
|
| 182 |
+
Testuak galdera erantzun dezake? / ¿Puede el texto responder a la pregunta?
|
| 183 |
+
```
|
| 184 |
+
|
| 185 |
+
**Instrukzio orokorrak**: sistema-mezurik gabe, elkarrizketa zuzena.
|
| 186 |
+
|
| 187 |
+
---
|
| 188 |
+
|
| 189 |
+
## Erabilera
|
| 190 |
+
|
| 191 |
+
### Transformers
|
| 192 |
+
|
| 193 |
+
```python
|
| 194 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 195 |
+
|
| 196 |
+
model_id = "TU_USUARIO/qwen27b_alia"
|
| 197 |
+
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
| 198 |
+
model = AutoModelForCausalLM.from_pretrained(model_id, dtype="bfloat16", device_map="auto")
|
| 199 |
+
|
| 200 |
+
messages = [
|
| 201 |
+
{"role": "system", "content": "Itzultzaile profesionala zara. Eres un traductor profesional."},
|
| 202 |
+
{"role": "user", "content": "Itzuli ondorengo testua euskarara / Traduce el siguiente texto al euskera:\nBuenos días a todos."},
|
| 203 |
+
]
|
| 204 |
+
|
| 205 |
+
inputs = tokenizer.apply_chat_template(
|
| 206 |
+
messages,
|
| 207 |
+
add_generation_prompt=True,
|
| 208 |
+
enable_thinking=False, # entrenamenduarekin bat dator
|
| 209 |
+
return_tensors="pt",
|
| 210 |
+
).to(model.device)
|
| 211 |
+
|
| 212 |
+
out = model.generate(inputs, max_new_tokens=512)
|
| 213 |
+
print(tokenizer.decode(out[0][inputs.shape[-1]:], skip_special_tokens=True))
|
| 214 |
+
```
|
| 215 |
+
|
| 216 |
+
Arreta linealeko geruzak bizkortzeko:
|
| 217 |
+
|
| 218 |
+
```bash
|
| 219 |
+
pip install flash-linear-attention
|
| 220 |
+
```
|
| 221 |
+
|
| 222 |
+
### GGUF (llama.cpp / Ollama)
|
| 223 |
+
|
| 224 |
+
**Q4_K_M** esportazio kuantizatu bat ere badago:
|
| 225 |
+
|
| 226 |
+
```bash
|
| 227 |
+
llama-cli -m qwen27b_alia-q4_k_m.gguf -p "..." -cnv
|
| 228 |
+
```
|
| 229 |
+
|
| 230 |
+
---
|
| 231 |
+
|
| 232 |
+
## Mugak eta alborapenak
|
| 233 |
+
|
| 234 |
+
- **Ebaluatu gabe.** Ez dago metrikarik. Ez erabili modelo hau produkzioan
|
| 235 |
+
aurrez zeure atazan neurtu gabe.
|
| 236 |
+
- **Entrenatu gabeko arrazoiketa.** SFT osoa `enable_thinking=False` aukerarekin
|
| 237 |
+
eta target zuzenekin egin zen. Oinarrizko modeloaren arrazoiketa-modua ez da
|
| 238 |
+
indartu, eta baliteke okerrera egin izana; sortu edukia
|
| 239 |
+
`enable_thinking=False` erabilita, kontrakoa egiaztatu ezean.
|
| 240 |
+
- **Ezin da `HiTZ/RAG_eu` erabiliz ebaluatu**, kutsadura dela eta (ikus goian).
|
| 241 |
+
- **Epoka bakarra** ~74 000 adibiderekin: estiloaren eta formatuaren doikuntza
|
| 242 |
+
arina da, ez ezagutzaren injekzio sakona.
|
| 243 |
+
- **Itzulpen sintetikoa.** `ALIA_syntethic_MT_V2` datu-multzoak automatikoki
|
| 244 |
+
sortutako itzulpenak ditu; haien errore sistematikoak modelora hedatzen dira.
|
| 245 |
+
SONAR iragazkia `berria` partizioari soilik aplikatu zitzaion.
|
| 246 |
+
- **Domeinu-alborapena.** Corpusak prentsatik (*Berria*), aldizkari ofizialetik
|
| 247 |
+
(EHAA) eta Eusko Legebiltzarreko aktetatik datoz. Erregistroak formala eta
|
| 248 |
+
instituzionala izateko joera du, eta euskal politika garaikidean ardazten da.
|
| 249 |
+
- **Egiaztatu gabeko bide multimodala** (ikus goian).
|
| 250 |
+
- Qwen3.8-27B modeloaren alborapenak eta mugak heredatzen ditu.
|
| 251 |
+
|
| 252 |
+
---
|
| 253 |
+
|
| 254 |
+
## Lizentzia
|
| 255 |
+
|
| 256 |
+
Modelo honen lizentzia aukeratzea **ez da erraza**, eta berrikustea komeni da:
|
| 257 |
+
|
| 258 |
+
- Oinarrizko modeloa, `Qwen3.8-27B`, **Apache-2.0** lizentziapean dago.
|
| 259 |
+
- `HiTZ/RAG_eu` eta `HiTZ/ALIA_syntethic_MT_V2` **CC-BY-SA-4.0** dira
|
| 260 |
+
(*share-alike*); `HiTZ/magpie-...-qwen3`, berriz, **CC-BY-4.0** da.
|
| 261 |
+
|
| 262 |
+
Metadatu hauetan **CC-BY-SA-4.0** ezarri da, interpretazio kontserbadoreari
|
| 263 |
+
jarraituz: entrenamendu-datuen *share-alike* baldintza hedatzea. Kontrako
|
| 264 |
+
interpretazioa ere badago, pisuak ez direla corpusaren lan eratorria dioena;
|
| 265 |
+
kasu horretan, Apache-2.0 nahikoa litzateke. Adostasunik gabeko auzi juridikoa
|
| 266 |
+
da. **Erabaki eta egokitu `license` eremua horren arabera.**
|
| 267 |
+
|
| 268 |
+
Edonola ere, corpusengatik HiTZ aitortu behar da.
|
| 269 |
+
|
| 270 |
+
---
|
| 271 |
+
|
| 272 |
+
## Kredituak
|
| 273 |
+
|
| 274 |
+
- Corpusak: [HiTZ Zentroa](https://huggingface.co/HiTZ) (UPV/EHU), Eusko
|
| 275 |
+
Jaurlaritzak (IKER-GAITU proiektua) eta Eraldaketa Digitalerako Ministerioak /
|
| 276 |
+
NextGenerationEUk (ILENIA eta ALIA proiektuak) finantzatuak.
|
| 277 |
+
- Oinarrizko modeloa: Qwen Team,
|
| 278 |
+
[Unsloth](https://huggingface.co/unsloth)ek paketatua.
|
| 279 |
+
- Entrenamendua: Unsloth + TRL.
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,184 @@
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- set sysns = namespace(count=0, text='') %}
|
| 46 |
+
{%- for message in messages %}
|
| 47 |
+
{%- if sysns.count == loop.index0 and (message.role == 'system' or message.role == 'developer') %}
|
| 48 |
+
{%- set sys_content = render_content(message.content, false, true)|trim %}
|
| 49 |
+
{%- if sys_content %}
|
| 50 |
+
{%- set sysns.text = sysns.text + ('\n' if sysns.text else '') + sys_content %}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- set sysns.count = sysns.count + 1 %}
|
| 53 |
+
{%- endif %}
|
| 54 |
+
{%- endfor %}
|
| 55 |
+
{%- set num_sys = sysns.count %}
|
| 56 |
+
{%- set merged_system = sysns.text %}
|
| 57 |
+
{%- set reasoning_instructions = '' %}
|
| 58 |
+
{%- if enable_thinking is undefined or enable_thinking is true %}
|
| 59 |
+
{%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}
|
| 60 |
+
{%- if resolved_reasoning_effort == 'high' %}
|
| 61 |
+
{%- set resolved_reasoning_effort = 'xhigh' %}
|
| 62 |
+
{%- endif %}
|
| 63 |
+
{%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}
|
| 64 |
+
{{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- if resolved_reasoning_effort == 'xhigh' %}
|
| 67 |
+
{%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}
|
| 68 |
+
{%- elif resolved_reasoning_effort == 'low' %}
|
| 69 |
+
{%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{%- endif %}
|
| 72 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 73 |
+
{{- '<|im_start|>system\n' }}
|
| 74 |
+
{%- if reasoning_instructions %}
|
| 75 |
+
{{- reasoning_instructions + '\n\n' }}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 78 |
+
{%- for tool in tools %}
|
| 79 |
+
{{- "\n" }}
|
| 80 |
+
{{- tool | tojson }}
|
| 81 |
+
{%- endfor %}
|
| 82 |
+
{{- "\n</tools>" }}
|
| 83 |
+
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 84 |
+
{%- if merged_system %}
|
| 85 |
+
{{- '\n\n' + merged_system }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{{- '<|im_end|>\n' }}
|
| 88 |
+
{%- else %}
|
| 89 |
+
{%- if merged_system %}
|
| 90 |
+
{{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + merged_system + '<|im_end|>\n' }}
|
| 91 |
+
{%- elif reasoning_instructions %}
|
| 92 |
+
{{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
|
| 93 |
+
{%- endif %}
|
| 94 |
+
{%- endif %}
|
| 95 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 96 |
+
{%- for message in messages[::-1] %}
|
| 97 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 98 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 99 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 100 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 101 |
+
{%- set ns.multi_step_tool = false %}
|
| 102 |
+
{%- set ns.last_query_index = index %}
|
| 103 |
+
{%- endif %}
|
| 104 |
+
{%- endif %}
|
| 105 |
+
{%- endfor %}
|
| 106 |
+
{%- for message in messages %}
|
| 107 |
+
{%- if loop.index0 >= num_sys %}
|
| 108 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 109 |
+
{%- if message.role == "system" or message.role == "developer" %}
|
| 110 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 111 |
+
{%- elif message.role == "user" %}
|
| 112 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 113 |
+
{%- elif message.role == "assistant" %}
|
| 114 |
+
{%- set reasoning_content = '' %}
|
| 115 |
+
{%- if message.reasoning_content is string %}
|
| 116 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 117 |
+
{%- endif %}
|
| 118 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 119 |
+
{%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}
|
| 120 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 121 |
+
{%- else %}
|
| 122 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 123 |
+
{%- endif %}
|
| 124 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 125 |
+
{%- for tool_call in message.tool_calls %}
|
| 126 |
+
{%- if tool_call.function is defined %}
|
| 127 |
+
{%- set tool_call = tool_call.function %}
|
| 128 |
+
{%- endif %}
|
| 129 |
+
{%- if tool_call.name is not defined or tool_call.name is none %}
|
| 130 |
+
{{- raise_exception('Tool call is missing a function name.') }}
|
| 131 |
+
{%- endif %}
|
| 132 |
+
{%- if loop.first %}
|
| 133 |
+
{%- if content|trim %}
|
| 134 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 135 |
+
{%- else %}
|
| 136 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 137 |
+
{%- endif %}
|
| 138 |
+
{%- else %}
|
| 139 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 140 |
+
{%- endif %}
|
| 141 |
+
{%- if tool_call.arguments is mapping %}
|
| 142 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 143 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 144 |
+
{%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
|
| 145 |
+
{{- args_value }}
|
| 146 |
+
{{- '\n</parameter>\n' }}
|
| 147 |
+
{%- endfor %}
|
| 148 |
+
{%- elif tool_call.arguments is string %}
|
| 149 |
+
{%- if tool_call.arguments|trim %}
|
| 150 |
+
{{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" were passed as a JSON string. Parse them into an object before calling apply_chat_template.') }}
|
| 151 |
+
{%- endif %}
|
| 152 |
+
{%- elif tool_call.arguments is defined and tool_call.arguments is not none %}
|
| 153 |
+
{{- raise_exception('Tool call arguments for function "' + (tool_call.name | string) + '" must be an object/mapping or a JSON string.') }}
|
| 154 |
+
{%- endif %}
|
| 155 |
+
{{- '</function>\n</tool_call>' }}
|
| 156 |
+
{%- endfor %}
|
| 157 |
+
{%- endif %}
|
| 158 |
+
{{- '<|im_end|>\n' }}
|
| 159 |
+
{%- elif message.role == "tool" %}
|
| 160 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 161 |
+
{{- '<|im_start|>user' }}
|
| 162 |
+
{%- endif %}
|
| 163 |
+
{{- '\n<tool_response>\n' }}
|
| 164 |
+
{{- content }}
|
| 165 |
+
{{- '\n</tool_response>' }}
|
| 166 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 167 |
+
{{- '<|im_end|>\n' }}
|
| 168 |
+
{%- elif loop.last %}
|
| 169 |
+
{{- '<|im_end|>\n' }}
|
| 170 |
+
{%- endif %}
|
| 171 |
+
{%- else %}
|
| 172 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 173 |
+
{%- endif %}
|
| 174 |
+
{%- endif %}
|
| 175 |
+
{%- endfor %}
|
| 176 |
+
{%- if add_generation_prompt %}
|
| 177 |
+
{{- '<|im_start|>assistant\n' }}
|
| 178 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 179 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 180 |
+
{%- else %}
|
| 181 |
+
{{- '<think>\n' }}
|
| 182 |
+
{%- endif %}
|
| 183 |
+
{%- endif %}
|
| 184 |
+
{#- Unsloth fixes - developer role, merged system messages, tool calling #}
|
config.json
ADDED
|
@@ -0,0 +1,144 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"torch_dtype": "bfloat16",
|
| 6 |
+
"image_token_id": 248056,
|
| 7 |
+
"language_model_only": false,
|
| 8 |
+
"model_name": "unsloth/Qwen3.8-27B",
|
| 9 |
+
"model_type": "qwen3_5",
|
| 10 |
+
"pad_token_id": 248044,
|
| 11 |
+
"text_config": {
|
| 12 |
+
"attention_bias": false,
|
| 13 |
+
"attention_dropout": 0.0,
|
| 14 |
+
"attn_output_gate": true,
|
| 15 |
+
"bos_token_id": 248044,
|
| 16 |
+
"torch_dtype": "bfloat16",
|
| 17 |
+
"eos_token_id": 248044,
|
| 18 |
+
"full_attention_interval": 4,
|
| 19 |
+
"head_dim": 256,
|
| 20 |
+
"hidden_act": "silu",
|
| 21 |
+
"hidden_size": 5120,
|
| 22 |
+
"initializer_range": 0.02,
|
| 23 |
+
"intermediate_size": 17408,
|
| 24 |
+
"layer_types": [
|
| 25 |
+
"linear_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"linear_attention",
|
| 54 |
+
"linear_attention",
|
| 55 |
+
"linear_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"linear_attention",
|
| 58 |
+
"linear_attention",
|
| 59 |
+
"linear_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"linear_attention",
|
| 62 |
+
"linear_attention",
|
| 63 |
+
"linear_attention",
|
| 64 |
+
"full_attention",
|
| 65 |
+
"linear_attention",
|
| 66 |
+
"linear_attention",
|
| 67 |
+
"linear_attention",
|
| 68 |
+
"full_attention",
|
| 69 |
+
"linear_attention",
|
| 70 |
+
"linear_attention",
|
| 71 |
+
"linear_attention",
|
| 72 |
+
"full_attention",
|
| 73 |
+
"linear_attention",
|
| 74 |
+
"linear_attention",
|
| 75 |
+
"linear_attention",
|
| 76 |
+
"full_attention",
|
| 77 |
+
"linear_attention",
|
| 78 |
+
"linear_attention",
|
| 79 |
+
"linear_attention",
|
| 80 |
+
"full_attention",
|
| 81 |
+
"linear_attention",
|
| 82 |
+
"linear_attention",
|
| 83 |
+
"linear_attention",
|
| 84 |
+
"full_attention",
|
| 85 |
+
"linear_attention",
|
| 86 |
+
"linear_attention",
|
| 87 |
+
"linear_attention",
|
| 88 |
+
"full_attention"
|
| 89 |
+
],
|
| 90 |
+
"linear_conv_kernel_dim": 4,
|
| 91 |
+
"linear_key_head_dim": 128,
|
| 92 |
+
"linear_num_key_heads": 16,
|
| 93 |
+
"linear_num_value_heads": 48,
|
| 94 |
+
"linear_value_head_dim": 128,
|
| 95 |
+
"mamba_ssm_dtype": "float32",
|
| 96 |
+
"max_position_embeddings": 262144,
|
| 97 |
+
"model_type": "qwen3_5_text",
|
| 98 |
+
"mtp_num_hidden_layers": 1,
|
| 99 |
+
"mtp_use_dedicated_embeddings": false,
|
| 100 |
+
"num_attention_heads": 24,
|
| 101 |
+
"num_hidden_layers": 64,
|
| 102 |
+
"num_key_value_heads": 4,
|
| 103 |
+
"output_gate_type": "swish",
|
| 104 |
+
"pad_token_id": null,
|
| 105 |
+
"partial_rotary_factor": 0.25,
|
| 106 |
+
"rms_norm_eps": 1e-06,
|
| 107 |
+
"rope_parameters": {
|
| 108 |
+
"mrope_interleaved": true,
|
| 109 |
+
"mrope_section": [
|
| 110 |
+
11,
|
| 111 |
+
11,
|
| 112 |
+
10
|
| 113 |
+
],
|
| 114 |
+
"partial_rotary_factor": 0.25,
|
| 115 |
+
"rope_theta": 10000000,
|
| 116 |
+
"rope_type": "default"
|
| 117 |
+
},
|
| 118 |
+
"tie_word_embeddings": false,
|
| 119 |
+
"use_cache": false,
|
| 120 |
+
"vocab_size": 248320
|
| 121 |
+
},
|
| 122 |
+
"tie_word_embeddings": false,
|
| 123 |
+
"unsloth_version": "2026.8.18",
|
| 124 |
+
"video_token_id": 248057,
|
| 125 |
+
"vision_config": {
|
| 126 |
+
"deepstack_visual_indexes": [],
|
| 127 |
+
"depth": 27,
|
| 128 |
+
"torch_dtype": "bfloat16",
|
| 129 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 130 |
+
"hidden_size": 1152,
|
| 131 |
+
"in_channels": 3,
|
| 132 |
+
"initializer_range": 0.02,
|
| 133 |
+
"intermediate_size": 4304,
|
| 134 |
+
"model_type": "qwen3_5",
|
| 135 |
+
"num_heads": 16,
|
| 136 |
+
"num_position_embeddings": 2304,
|
| 137 |
+
"out_hidden_size": 5120,
|
| 138 |
+
"patch_size": 16,
|
| 139 |
+
"spatial_merge_size": 2,
|
| 140 |
+
"temporal_patch_size": 2
|
| 141 |
+
},
|
| 142 |
+
"vision_end_token_id": 248054,
|
| 143 |
+
"vision_start_token_id": 248053
|
| 144 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 248044,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
248046,
|
| 6 |
+
248044
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 248044,
|
| 9 |
+
"temperature": 1.0,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "5.5.0"
|
| 13 |
+
}
|
model-00001-of-00018.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e3b451e51a96e2685cf3be6463a1c87749a75c20f31e1c669a9b12a5dd869df
|
| 3 |
+
size 3966730552
|
model-00002-of-00018.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:942be2c3309ea0a8fdecc21fb6dfccf32bd2284ac0e852fce6299e9c9a07280d
|
| 3 |
+
size 3043080328
|
model-00003-of-00018.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2e1bf62cbcd406eaa64b60d10353e1f0ef4039d0976e56f05cabe953454f9968
|
| 3 |
+
size 2542796952
|
model-00004-of-00018.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ca54a322cd1c1c726cab4cf7492ff4e04ec4e8bba3957cd2d535d510a952f83e
|
| 3 |
+
size 3988973152
|
model-00005-of-00018.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:933aaf442cc8d919fef3237e8ad22f72bd42fb088b203d6db2cd831cb3080307
|
| 3 |
+
size 2099339864
|
model-00006-of-00018.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0ccbb1595208f8afd8c1196e9300542e137be1438b5aad651ffbabde2bb46c43
|
| 3 |
+
size 3979553696
|
model-00007-of-00018.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8942dba1f0e4f01f1d577ac937f048c424a356cf870f5ddc770f7d622501a2f5
|
| 3 |
+
size 2108759344
|
model-00008-of-00018.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
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processor_config.json
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| 30 |
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| 32 |
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| 33 |
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|
| 59 |
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| 60 |
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tokenizer.json
ADDED
|
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tokenizer_config.json
ADDED
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@@ -0,0 +1,300 @@
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|
| 1 |
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{
|
| 2 |
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"add_prefix_space": false,
|
| 3 |
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"audio_bos_token": "<|audio_start|>",
|
| 4 |
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"audio_eos_token": "<|audio_end|>",
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| 5 |
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"audio_token": "<|audio_pad|>",
|
| 6 |
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"backend": "tokenizers",
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|
| 9 |
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| 10 |
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"errors": "replace",
|
| 11 |
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|
| 12 |
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"is_local": false,
|
| 13 |
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"model_max_length": 262144,
|
| 14 |
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"model_specific_special_tokens": {
|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 21 |
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|
| 22 |
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},
|
| 23 |
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"pad_token": "<|endoftext|>",
|
| 24 |
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"padding_side": "left",
|
| 25 |
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"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 26 |
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"processor_class": "Qwen3VLProcessor",
|
| 27 |
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"split_special_tokens": false,
|
| 28 |
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"tokenizer_class": "TokenizersBackend",
|
| 29 |
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"unk_token": null,
|
| 30 |
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"video_token": "<|video_pad|>",
|
| 31 |
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"vision_bos_token": "<|vision_start|>",
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| 32 |
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"vision_eos_token": "<|vision_end|>",
|
| 33 |
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"added_tokens_decoder": {
|
| 34 |
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"248044": {
|
| 35 |
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"content": "<|endoftext|>",
|
| 36 |
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"single_word": false,
|
| 37 |
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"lstrip": false,
|
| 38 |
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|
| 39 |
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"normalized": false,
|
| 40 |
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"special": true
|
| 41 |
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},
|
| 42 |
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"248045": {
|
| 43 |
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"content": "<|im_start|>",
|
| 44 |
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"single_word": false,
|
| 45 |
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"lstrip": false,
|
| 46 |
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|
| 47 |
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"normalized": false,
|
| 48 |
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"special": true
|
| 49 |
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},
|
| 50 |
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"248046": {
|
| 51 |
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"content": "<|im_end|>",
|
| 52 |
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"single_word": false,
|
| 53 |
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"lstrip": false,
|
| 54 |
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"rstrip": false,
|
| 55 |
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"normalized": false,
|
| 56 |
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"special": true
|
| 57 |
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},
|
| 58 |
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"248047": {
|
| 59 |
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"content": "<|object_ref_start|>",
|
| 60 |
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"single_word": false,
|
| 61 |
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"lstrip": false,
|
| 62 |
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"rstrip": false,
|
| 63 |
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"normalized": false,
|
| 64 |
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"special": true
|
| 65 |
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},
|
| 66 |
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"248048": {
|
| 67 |
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"content": "<|object_ref_end|>",
|
| 68 |
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|
| 69 |
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|
| 70 |
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"rstrip": false,
|
| 71 |
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"normalized": false,
|
| 72 |
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"special": true
|
| 73 |
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},
|
| 74 |
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"248049": {
|
| 75 |
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"content": "<|box_start|>",
|
| 76 |
+
"single_word": false,
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"rstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"special": true
|
| 81 |
+
},
|
| 82 |
+
"248050": {
|
| 83 |
+
"content": "<|box_end|>",
|
| 84 |
+
"single_word": false,
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"rstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"special": true
|
| 89 |
+
},
|
| 90 |
+
"248051": {
|
| 91 |
+
"content": "<|quad_start|>",
|
| 92 |
+
"single_word": false,
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"rstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"special": true
|
| 97 |
+
},
|
| 98 |
+
"248052": {
|
| 99 |
+
"content": "<|quad_end|>",
|
| 100 |
+
"single_word": false,
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"rstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"special": true
|
| 105 |
+
},
|
| 106 |
+
"248053": {
|
| 107 |
+
"content": "<|vision_start|>",
|
| 108 |
+
"single_word": false,
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"rstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"special": true
|
| 113 |
+
},
|
| 114 |
+
"248054": {
|
| 115 |
+
"content": "<|vision_end|>",
|
| 116 |
+
"single_word": false,
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"rstrip": false,
|
| 119 |
+
"normalized": false,
|
| 120 |
+
"special": true
|
| 121 |
+
},
|
| 122 |
+
"248055": {
|
| 123 |
+
"content": "<|vision_pad|>",
|
| 124 |
+
"single_word": false,
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"rstrip": false,
|
| 127 |
+
"normalized": false,
|
| 128 |
+
"special": true
|
| 129 |
+
},
|
| 130 |
+
"248056": {
|
| 131 |
+
"content": "<|image_pad|>",
|
| 132 |
+
"single_word": false,
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"rstrip": false,
|
| 135 |
+
"normalized": false,
|
| 136 |
+
"special": true
|
| 137 |
+
},
|
| 138 |
+
"248057": {
|
| 139 |
+
"content": "<|video_pad|>",
|
| 140 |
+
"single_word": false,
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"rstrip": false,
|
| 143 |
+
"normalized": false,
|
| 144 |
+
"special": true
|
| 145 |
+
},
|
| 146 |
+
"248058": {
|
| 147 |
+
"content": "<tool_call>",
|
| 148 |
+
"single_word": false,
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"rstrip": false,
|
| 151 |
+
"normalized": false,
|
| 152 |
+
"special": false
|
| 153 |
+
},
|
| 154 |
+
"248059": {
|
| 155 |
+
"content": "</tool_call>",
|
| 156 |
+
"single_word": false,
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"rstrip": false,
|
| 159 |
+
"normalized": false,
|
| 160 |
+
"special": false
|
| 161 |
+
},
|
| 162 |
+
"248060": {
|
| 163 |
+
"content": "<|fim_prefix|>",
|
| 164 |
+
"single_word": false,
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"rstrip": false,
|
| 167 |
+
"normalized": false,
|
| 168 |
+
"special": false
|
| 169 |
+
},
|
| 170 |
+
"248061": {
|
| 171 |
+
"content": "<|fim_middle|>",
|
| 172 |
+
"single_word": false,
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"rstrip": false,
|
| 175 |
+
"normalized": false,
|
| 176 |
+
"special": false
|
| 177 |
+
},
|
| 178 |
+
"248062": {
|
| 179 |
+
"content": "<|fim_suffix|>",
|
| 180 |
+
"single_word": false,
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"rstrip": false,
|
| 183 |
+
"normalized": false,
|
| 184 |
+
"special": false
|
| 185 |
+
},
|
| 186 |
+
"248063": {
|
| 187 |
+
"content": "<|fim_pad|>",
|
| 188 |
+
"single_word": false,
|
| 189 |
+
"lstrip": false,
|
| 190 |
+
"rstrip": false,
|
| 191 |
+
"normalized": false,
|
| 192 |
+
"special": false
|
| 193 |
+
},
|
| 194 |
+
"248064": {
|
| 195 |
+
"content": "<|repo_name|>",
|
| 196 |
+
"single_word": false,
|
| 197 |
+
"lstrip": false,
|
| 198 |
+
"rstrip": false,
|
| 199 |
+
"normalized": false,
|
| 200 |
+
"special": false
|
| 201 |
+
},
|
| 202 |
+
"248065": {
|
| 203 |
+
"content": "<|file_sep|>",
|
| 204 |
+
"single_word": false,
|
| 205 |
+
"lstrip": false,
|
| 206 |
+
"rstrip": false,
|
| 207 |
+
"normalized": false,
|
| 208 |
+
"special": false
|
| 209 |
+
},
|
| 210 |
+
"248066": {
|
| 211 |
+
"content": "<tool_response>",
|
| 212 |
+
"single_word": false,
|
| 213 |
+
"lstrip": false,
|
| 214 |
+
"rstrip": false,
|
| 215 |
+
"normalized": false,
|
| 216 |
+
"special": false
|
| 217 |
+
},
|
| 218 |
+
"248067": {
|
| 219 |
+
"content": "</tool_response>",
|
| 220 |
+
"single_word": false,
|
| 221 |
+
"lstrip": false,
|
| 222 |
+
"rstrip": false,
|
| 223 |
+
"normalized": false,
|
| 224 |
+
"special": false
|
| 225 |
+
},
|
| 226 |
+
"248068": {
|
| 227 |
+
"content": "<think>",
|
| 228 |
+
"single_word": false,
|
| 229 |
+
"lstrip": false,
|
| 230 |
+
"rstrip": false,
|
| 231 |
+
"normalized": false,
|
| 232 |
+
"special": false
|
| 233 |
+
},
|
| 234 |
+
"248069": {
|
| 235 |
+
"content": "</think>",
|
| 236 |
+
"single_word": false,
|
| 237 |
+
"lstrip": false,
|
| 238 |
+
"rstrip": false,
|
| 239 |
+
"normalized": false,
|
| 240 |
+
"special": false
|
| 241 |
+
},
|
| 242 |
+
"248070": {
|
| 243 |
+
"content": "<|audio_start|>",
|
| 244 |
+
"single_word": false,
|
| 245 |
+
"lstrip": false,
|
| 246 |
+
"rstrip": false,
|
| 247 |
+
"normalized": false,
|
| 248 |
+
"special": true
|
| 249 |
+
},
|
| 250 |
+
"248071": {
|
| 251 |
+
"content": "<|audio_end|>",
|
| 252 |
+
"single_word": false,
|
| 253 |
+
"lstrip": false,
|
| 254 |
+
"rstrip": false,
|
| 255 |
+
"normalized": false,
|
| 256 |
+
"special": true
|
| 257 |
+
},
|
| 258 |
+
"248072": {
|
| 259 |
+
"content": "<tts_pad>",
|
| 260 |
+
"single_word": false,
|
| 261 |
+
"lstrip": false,
|
| 262 |
+
"rstrip": false,
|
| 263 |
+
"normalized": false,
|
| 264 |
+
"special": true
|
| 265 |
+
},
|
| 266 |
+
"248073": {
|
| 267 |
+
"content": "<tts_text_bos>",
|
| 268 |
+
"single_word": false,
|
| 269 |
+
"lstrip": false,
|
| 270 |
+
"rstrip": false,
|
| 271 |
+
"normalized": false,
|
| 272 |
+
"special": true
|
| 273 |
+
},
|
| 274 |
+
"248074": {
|
| 275 |
+
"content": "<tts_text_eod>",
|
| 276 |
+
"single_word": false,
|
| 277 |
+
"lstrip": false,
|
| 278 |
+
"rstrip": false,
|
| 279 |
+
"normalized": false,
|
| 280 |
+
"special": true
|
| 281 |
+
},
|
| 282 |
+
"248075": {
|
| 283 |
+
"content": "<tts_text_bos_single>",
|
| 284 |
+
"single_word": false,
|
| 285 |
+
"lstrip": false,
|
| 286 |
+
"rstrip": false,
|
| 287 |
+
"normalized": false,
|
| 288 |
+
"special": true
|
| 289 |
+
},
|
| 290 |
+
"248076": {
|
| 291 |
+
"content": "<|audio_pad|>",
|
| 292 |
+
"single_word": false,
|
| 293 |
+
"lstrip": false,
|
| 294 |
+
"rstrip": false,
|
| 295 |
+
"normalized": false,
|
| 296 |
+
"special": true
|
| 297 |
+
}
|
| 298 |
+
},
|
| 299 |
+
"chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n {%- if content is string %}\n {{- content }}\n {%- elif content is iterable and content is not mapping %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain images.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Picture ' ~ image_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain videos.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Video ' ~ video_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- else %}\n {{- raise_exception('Unexpected item type in content.') }}\n {%- endif %}\n {%- endfor %}\n {%- elif content is none or content is undefined %}\n {{- '' }}\n {%- else %}\n {{- raise_exception('Unexpected content type.') }}\n {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- set sysns = namespace(count=0, text='') %}\n{%- for message in messages %}\n {%- if sysns.count == loop.index0 and (message.role == 'system' or message.role == 'developer') %}\n {%- set sys_content = render_content(message.content, false, true)|trim %}\n {%- if sys_content %}\n {%- set sysns.text = sysns.text + ('\\n' if sysns.text else '') + sys_content %}\n {%- endif %}\n {%- set sysns.count = sysns.count + 1 %}\n {%- endif %}\n{%- endfor %}\n{%- set num_sys = sysns.count %}\n{%- set merged_system = sysns.text %}\n{%- set reasoning_instructions = '' %}\n{%- if enable_thinking is undefined or enable_thinking is true %}\n {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}\n {%- if resolved_reasoning_effort == 'high' %}\n {%- set resolved_reasoning_effort = 'xhigh' %}\n {%- endif %}\n {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}\n {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}\n {%- endif %}\n {%- if resolved_reasoning_effort == 'xhigh' %}\n {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}\n {%- elif resolved_reasoning_effort == 'low' %}\n {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}\n {%- endif %}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n {{- '<|im_start|>system\\n' }}\n {%- if reasoning_instructions %}\n {{- reasoning_instructions + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\" }}\n {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n {%- if merged_system %}\n {{- '\\n\\n' + merged_system }}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n{%- else %}\n {%- if merged_system %}\n {{- '<|im_start|>system\\n' + (reasoning_instructions + '\\n\\n' if reasoning_instructions else '') + merged_system + '<|im_end|>\\n' }}\n {%- elif reasoning_instructions %}\n {{- '<|im_start|>system\\n' + reasoning_instructions + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" %}\n {%- set content = render_content(message.content, false)|trim %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if loop.index0 >= num_sys %}\n {%- set content = render_content(message.content, true)|trim %}\n {%- if message.role == \"system\" or message.role == \"developer\" %}\n {{- raise_exception('System message must be at the beginning.') }}\n {%- elif message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- endif %}\n {%- set reasoning_content = reasoning_content|trim %}\n {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if tool_call.name is not defined or tool_call.name is none %}\n {{- raise_exception('Tool call is missing a function name.') }}\n {%- endif %}\n {%- if loop.first %}\n {%- if content|trim %}\n {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- else %}\n {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- else %}\n {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- if tool_call.arguments is mapping %}\n {%- for args_name, args_value in tool_call.arguments|items %}\n {{- '<parameter=' + args_name + '>\\n' }}\n {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}\n {{- args_value }}\n {{- '\\n</parameter>\\n' }}\n {%- endfor %}\n {%- elif tool_call.arguments is string %}\n {%- if tool_call.arguments|trim %}\n {{- raise_exception('Tool call arguments for function \"' + (tool_call.name | string) + '\" were passed as a JSON string. Parse them into an object before calling apply_chat_template.') }}\n {%- endif %}\n {%- elif tool_call.arguments is defined and tool_call.arguments is not none %}\n {{- raise_exception('Tool call arguments for function \"' + (tool_call.name | string) + '\" must be an object/mapping or a JSON string.') }}\n {%- endif %}\n {{- '</function>\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- else %}\n {{- raise_exception('Unexpected message role.') }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- else %}\n {{- '<think>\\n' }}\n {%- endif %}\n{%- endif %}\n{#- Unsloth fixes - developer role, merged system messages, tool calling #}"
|
| 300 |
+
}
|