Instructions to use tangledgroup/tangled-alpha-0.10-core with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tangledgroup/tangled-alpha-0.10-core with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="tangledgroup/tangled-alpha-0.10-core")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tangledgroup/tangled-alpha-0.10-core", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use tangledgroup/tangled-alpha-0.10-core with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "tangledgroup/tangled-alpha-0.10-core" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tangledgroup/tangled-alpha-0.10-core", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/tangledgroup/tangled-alpha-0.10-core
- SGLang
How to use tangledgroup/tangled-alpha-0.10-core 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 "tangledgroup/tangled-alpha-0.10-core" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tangledgroup/tangled-alpha-0.10-core", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "tangledgroup/tangled-alpha-0.10-core" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tangledgroup/tangled-alpha-0.10-core", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use tangledgroup/tangled-alpha-0.10-core with Docker Model Runner:
docker model run hf.co/tangledgroup/tangled-alpha-0.10-core
cleanup
Browse files
out/pretrain-core-0/final/hyperparameters.yaml
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model_name: tangled-alpha-0.10-core
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model_config:
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name: tangled-alpha-0.10-core
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hf_config: {}
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block_size: 131072
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n_layer: 32
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n_embd: 512
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vocab_size: 131072
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padding_multiple: 512
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padded_vocab_size: 131072
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norm_class_name: RMSNorm
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norm_eps: 1.0e-05
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norm_qk: false
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post_attention_norm: false
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post_mlp_norm: false
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parallel_residual: false
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shared_attention_norm: false
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n_head: 8
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head_size: 128
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n_query_groups: 8
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attn_bias: false
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rope_base: 4300
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rotary_percentage: 1.0
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rope_condense_ratio: 1
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intermediate_size: 2048
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bias: false
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mlp_class_name: LLaMAMLP
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gelu_approximate: none
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n_expert: 0
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n_expert_per_token: 0
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scale_embeddings: false
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lm_head_bias: false
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out_dir: ../out/pretrain-core-0
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precision: bf16-true
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resume: auto
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data:
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class_path: litgpt.data.LitData
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init_args:
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data_path: ../core-data-0-0-1073741824-1025-16000/
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seed: 42
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num_workers: 32
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train:
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save_interval: 50
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log_interval: 1
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global_batch_size: 512
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micro_batch_size: 8
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lr_warmup_steps: 2000
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max_tokens: 5275285500
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max_seq_length: 1024
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tie_embeddings: false
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max_norm: 1.0
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min_lr: 3.0e-05
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eval:
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interval: 50
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max_iters: 100
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initial_validation: false
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final_validation: true
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evaluate_example: first
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optimizer:
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class_path: torch.optim.AdamW
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init_args:
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lr: 0.0003
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weight_decay: 0.01
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betas:
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devices: auto
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num_nodes: 1
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tokenizer_dir: ../tokenizer
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logger_name: wandb
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seed: 23
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out/pretrain-core-0/final/lit_model.pth
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attention_logit_softcapping: null
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attention_scores_scalar: null
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attn_bias: false
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bias: false
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block_size: 131072
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final_logit_softcapping: null
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gelu_approximate: none
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head_size: 128
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hf_config: {}
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intermediate_size: 2048
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lm_head_bias: false
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mlp_class_name: LLaMAMLP
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n_embd: 512
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n_expert: 0
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n_expert_per_token: 0
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n_head: 8
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n_layer: 32
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n_query_groups: 8
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name: tangled-alpha-0.10-core
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norm_class_name: RMSNorm
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norm_eps: 1.0e-05
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norm_qk: false
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padded_vocab_size: 131072
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padding_multiple: 512
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parallel_residual: false
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post_attention_norm: false
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post_mlp_norm: false
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rope_adjustments: null
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rope_base: 4300
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rope_condense_ratio: 1
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rotary_percentage: 1.0
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scale_embeddings: false
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shared_attention_norm: false
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sliding_window_layer_placing: null
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sliding_window_size: null
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vocab_size: 131072
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out/pretrain-core-0/final/tokenizer.json
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"lstrip": false,
|
| 206 |
-
"normalized": false,
|
| 207 |
-
"rstrip": false,
|
| 208 |
-
"single_word": false,
|
| 209 |
-
"special": true
|
| 210 |
-
},
|
| 211 |
-
"26": {
|
| 212 |
-
"content": "<|reserved_7|>",
|
| 213 |
-
"lstrip": false,
|
| 214 |
-
"normalized": false,
|
| 215 |
-
"rstrip": false,
|
| 216 |
-
"single_word": false,
|
| 217 |
-
"special": true
|
| 218 |
-
},
|
| 219 |
-
"27": {
|
| 220 |
-
"content": "<|reserved_8|>",
|
| 221 |
-
"lstrip": false,
|
| 222 |
-
"normalized": false,
|
| 223 |
-
"rstrip": false,
|
| 224 |
-
"single_word": false,
|
| 225 |
-
"special": true
|
| 226 |
-
},
|
| 227 |
-
"28": {
|
| 228 |
-
"content": "<|reserved_9|>",
|
| 229 |
-
"lstrip": false,
|
| 230 |
-
"normalized": false,
|
| 231 |
-
"rstrip": false,
|
| 232 |
-
"single_word": false,
|
| 233 |
-
"special": true
|
| 234 |
-
},
|
| 235 |
-
"29": {
|
| 236 |
-
"content": "<|reserved_10|>",
|
| 237 |
-
"lstrip": false,
|
| 238 |
-
"normalized": false,
|
| 239 |
-
"rstrip": false,
|
| 240 |
-
"single_word": false,
|
| 241 |
-
"special": true
|
| 242 |
-
},
|
| 243 |
-
"30": {
|
| 244 |
-
"content": "<|reserved_11|>",
|
| 245 |
-
"lstrip": false,
|
| 246 |
-
"normalized": false,
|
| 247 |
-
"rstrip": false,
|
| 248 |
-
"single_word": false,
|
| 249 |
-
"special": true
|
| 250 |
-
},
|
| 251 |
-
"31": {
|
| 252 |
-
"content": "<|reserved_12|>",
|
| 253 |
-
"lstrip": false,
|
| 254 |
-
"normalized": false,
|
| 255 |
-
"rstrip": false,
|
| 256 |
-
"single_word": false,
|
| 257 |
-
"special": true
|
| 258 |
-
},
|
| 259 |
-
"32": {
|
| 260 |
-
"content": "<|reserved_13|>",
|
| 261 |
-
"lstrip": false,
|
| 262 |
-
"normalized": false,
|
| 263 |
-
"rstrip": false,
|
| 264 |
-
"single_word": false,
|
| 265 |
-
"special": true
|
| 266 |
-
},
|
| 267 |
-
"33": {
|
| 268 |
-
"content": "<|reserved_14|>",
|
| 269 |
-
"lstrip": false,
|
| 270 |
-
"normalized": false,
|
| 271 |
-
"rstrip": false,
|
| 272 |
-
"single_word": false,
|
| 273 |
-
"special": true
|
| 274 |
-
},
|
| 275 |
-
"34": {
|
| 276 |
-
"content": "<|reserved_15|>",
|
| 277 |
-
"lstrip": false,
|
| 278 |
-
"normalized": false,
|
| 279 |
-
"rstrip": false,
|
| 280 |
-
"single_word": false,
|
| 281 |
-
"special": true
|
| 282 |
-
},
|
| 283 |
-
"35": {
|
| 284 |
-
"content": "<|reserved_16|>",
|
| 285 |
-
"lstrip": false,
|
| 286 |
-
"normalized": false,
|
| 287 |
-
"rstrip": false,
|
| 288 |
-
"single_word": false,
|
| 289 |
-
"special": true
|
| 290 |
-
},
|
| 291 |
-
"36": {
|
| 292 |
-
"content": "<|reserved_17|>",
|
| 293 |
-
"lstrip": false,
|
| 294 |
-
"normalized": false,
|
| 295 |
-
"rstrip": false,
|
| 296 |
-
"single_word": false,
|
| 297 |
-
"special": true
|
| 298 |
-
},
|
| 299 |
-
"37": {
|
| 300 |
-
"content": "<|reserved_18|>",
|
| 301 |
-
"lstrip": false,
|
| 302 |
-
"normalized": false,
|
| 303 |
-
"rstrip": false,
|
| 304 |
-
"single_word": false,
|
| 305 |
-
"special": true
|
| 306 |
-
},
|
| 307 |
-
"38": {
|
| 308 |
-
"content": "<|reserved_19|>",
|
| 309 |
-
"lstrip": false,
|
| 310 |
-
"normalized": false,
|
| 311 |
-
"rstrip": false,
|
| 312 |
-
"single_word": false,
|
| 313 |
-
"special": true
|
| 314 |
-
},
|
| 315 |
-
"39": {
|
| 316 |
-
"content": "<|reserved_20|>",
|
| 317 |
-
"lstrip": false,
|
| 318 |
-
"normalized": false,
|
| 319 |
-
"rstrip": false,
|
| 320 |
-
"single_word": false,
|
| 321 |
-
"special": true
|
| 322 |
-
},
|
| 323 |
-
"40": {
|
| 324 |
-
"content": "<|reserved_21|>",
|
| 325 |
-
"lstrip": false,
|
| 326 |
-
"normalized": false,
|
| 327 |
-
"rstrip": false,
|
| 328 |
-
"single_word": false,
|
| 329 |
-
"special": true
|
| 330 |
-
},
|
| 331 |
-
"41": {
|
| 332 |
-
"content": "<|reserved_22|>",
|
| 333 |
-
"lstrip": false,
|
| 334 |
-
"normalized": false,
|
| 335 |
-
"rstrip": false,
|
| 336 |
-
"single_word": false,
|
| 337 |
-
"special": true
|
| 338 |
-
},
|
| 339 |
-
"42": {
|
| 340 |
-
"content": "<|reserved_23|>",
|
| 341 |
-
"lstrip": false,
|
| 342 |
-
"normalized": false,
|
| 343 |
-
"rstrip": false,
|
| 344 |
-
"single_word": false,
|
| 345 |
-
"special": true
|
| 346 |
-
},
|
| 347 |
-
"43": {
|
| 348 |
-
"content": "<|reserved_24|>",
|
| 349 |
-
"lstrip": false,
|
| 350 |
-
"normalized": false,
|
| 351 |
-
"rstrip": false,
|
| 352 |
-
"single_word": false,
|
| 353 |
-
"special": true
|
| 354 |
-
},
|
| 355 |
-
"44": {
|
| 356 |
-
"content": "<|reserved_25|>",
|
| 357 |
-
"lstrip": false,
|
| 358 |
-
"normalized": false,
|
| 359 |
-
"rstrip": false,
|
| 360 |
-
"single_word": false,
|
| 361 |
-
"special": true
|
| 362 |
-
},
|
| 363 |
-
"45": {
|
| 364 |
-
"content": "<|reserved_26|>",
|
| 365 |
-
"lstrip": false,
|
| 366 |
-
"normalized": false,
|
| 367 |
-
"rstrip": false,
|
| 368 |
-
"single_word": false,
|
| 369 |
-
"special": true
|
| 370 |
-
},
|
| 371 |
-
"46": {
|
| 372 |
-
"content": "<|reserved_27|>",
|
| 373 |
-
"lstrip": false,
|
| 374 |
-
"normalized": false,
|
| 375 |
-
"rstrip": false,
|
| 376 |
-
"single_word": false,
|
| 377 |
-
"special": true
|
| 378 |
-
},
|
| 379 |
-
"47": {
|
| 380 |
-
"content": "<|reserved_28|>",
|
| 381 |
-
"lstrip": false,
|
| 382 |
-
"normalized": false,
|
| 383 |
-
"rstrip": false,
|
| 384 |
-
"single_word": false,
|
| 385 |
-
"special": true
|
| 386 |
-
},
|
| 387 |
-
"48": {
|
| 388 |
-
"content": "<|reserved_29|>",
|
| 389 |
-
"lstrip": false,
|
| 390 |
-
"normalized": false,
|
| 391 |
-
"rstrip": false,
|
| 392 |
-
"single_word": false,
|
| 393 |
-
"special": true
|
| 394 |
-
},
|
| 395 |
-
"49": {
|
| 396 |
-
"content": "<|reserved_30|>",
|
| 397 |
-
"lstrip": false,
|
| 398 |
-
"normalized": false,
|
| 399 |
-
"rstrip": false,
|
| 400 |
-
"single_word": false,
|
| 401 |
-
"special": true
|
| 402 |
-
},
|
| 403 |
-
"50": {
|
| 404 |
-
"content": "<|reserved_31|>",
|
| 405 |
-
"lstrip": false,
|
| 406 |
-
"normalized": false,
|
| 407 |
-
"rstrip": false,
|
| 408 |
-
"single_word": false,
|
| 409 |
-
"special": true
|
| 410 |
-
},
|
| 411 |
-
"51": {
|
| 412 |
-
"content": "<|reserved_32|>",
|
| 413 |
-
"lstrip": false,
|
| 414 |
-
"normalized": false,
|
| 415 |
-
"rstrip": false,
|
| 416 |
-
"single_word": false,
|
| 417 |
-
"special": true
|
| 418 |
-
},
|
| 419 |
-
"52": {
|
| 420 |
-
"content": "<|reserved_33|>",
|
| 421 |
-
"lstrip": false,
|
| 422 |
-
"normalized": false,
|
| 423 |
-
"rstrip": false,
|
| 424 |
-
"single_word": false,
|
| 425 |
-
"special": true
|
| 426 |
-
},
|
| 427 |
-
"53": {
|
| 428 |
-
"content": "<|reserved_34|>",
|
| 429 |
-
"lstrip": false,
|
| 430 |
-
"normalized": false,
|
| 431 |
-
"rstrip": false,
|
| 432 |
-
"single_word": false,
|
| 433 |
-
"special": true
|
| 434 |
-
},
|
| 435 |
-
"54": {
|
| 436 |
-
"content": "<|reserved_35|>",
|
| 437 |
-
"lstrip": false,
|
| 438 |
-
"normalized": false,
|
| 439 |
-
"rstrip": false,
|
| 440 |
-
"single_word": false,
|
| 441 |
-
"special": true
|
| 442 |
-
},
|
| 443 |
-
"55": {
|
| 444 |
-
"content": "<|reserved_36|>",
|
| 445 |
-
"lstrip": false,
|
| 446 |
-
"normalized": false,
|
| 447 |
-
"rstrip": false,
|
| 448 |
-
"single_word": false,
|
| 449 |
-
"special": true
|
| 450 |
-
},
|
| 451 |
-
"56": {
|
| 452 |
-
"content": "<|reserved_37|>",
|
| 453 |
-
"lstrip": false,
|
| 454 |
-
"normalized": false,
|
| 455 |
-
"rstrip": false,
|
| 456 |
-
"single_word": false,
|
| 457 |
-
"special": true
|
| 458 |
-
},
|
| 459 |
-
"57": {
|
| 460 |
-
"content": "<|reserved_38|>",
|
| 461 |
-
"lstrip": false,
|
| 462 |
-
"normalized": false,
|
| 463 |
-
"rstrip": false,
|
| 464 |
-
"single_word": false,
|
| 465 |
-
"special": true
|
| 466 |
-
},
|
| 467 |
-
"58": {
|
| 468 |
-
"content": "<|reserved_39|>",
|
| 469 |
-
"lstrip": false,
|
| 470 |
-
"normalized": false,
|
| 471 |
-
"rstrip": false,
|
| 472 |
-
"single_word": false,
|
| 473 |
-
"special": true
|
| 474 |
-
},
|
| 475 |
-
"59": {
|
| 476 |
-
"content": "<|reserved_40|>",
|
| 477 |
-
"lstrip": false,
|
| 478 |
-
"normalized": false,
|
| 479 |
-
"rstrip": false,
|
| 480 |
-
"single_word": false,
|
| 481 |
-
"special": true
|
| 482 |
-
},
|
| 483 |
-
"60": {
|
| 484 |
-
"content": "<|reserved_41|>",
|
| 485 |
-
"lstrip": false,
|
| 486 |
-
"normalized": false,
|
| 487 |
-
"rstrip": false,
|
| 488 |
-
"single_word": false,
|
| 489 |
-
"special": true
|
| 490 |
-
},
|
| 491 |
-
"61": {
|
| 492 |
-
"content": "<|reserved_42|>",
|
| 493 |
-
"lstrip": false,
|
| 494 |
-
"normalized": false,
|
| 495 |
-
"rstrip": false,
|
| 496 |
-
"single_word": false,
|
| 497 |
-
"special": true
|
| 498 |
-
},
|
| 499 |
-
"62": {
|
| 500 |
-
"content": "<|reserved_43|>",
|
| 501 |
-
"lstrip": false,
|
| 502 |
-
"normalized": false,
|
| 503 |
-
"rstrip": false,
|
| 504 |
-
"single_word": false,
|
| 505 |
-
"special": true
|
| 506 |
-
},
|
| 507 |
-
"63": {
|
| 508 |
-
"content": "<|reserved_44|>",
|
| 509 |
-
"lstrip": false,
|
| 510 |
-
"normalized": false,
|
| 511 |
-
"rstrip": false,
|
| 512 |
-
"single_word": false,
|
| 513 |
-
"special": true
|
| 514 |
-
}
|
| 515 |
-
},
|
| 516 |
-
"bos_token": "<|endoftext|>",
|
| 517 |
-
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '<|im_sep|>' + message['content'] + '<|im_end|>'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant<|im_sep|>' }}{% endif %}",
|
| 518 |
-
"clean_up_tokenization_spaces": false,
|
| 519 |
-
"eos_token": "<|im_end|>",
|
| 520 |
-
"extra_special_tokens": {},
|
| 521 |
-
"model_max_length": 1000000000000000019884624838656,
|
| 522 |
-
"pad_token": "<|pad|>",
|
| 523 |
-
"tokenizer_class": "PreTrainedTokenizerFast",
|
| 524 |
-
"unk_token": "<|unk|>"
|
| 525 |
-
}
|
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