Class swarmauri_standard.vlms.HyperbolicVLM.HyperbolicVLM
swarmauri_standard.vlms.HyperbolicVLM.HyperbolicVLM
HyperbolicVLM(**data)
Bases: VLMBase
HyperbolicVLM class for interacting with the Hyperbolic vision language models API. This class provides synchronous and asynchronous methods to send conversation data to the model, receive predictions, and stream responses.
ATTRIBUTE | DESCRIPTION |
---|---|
api_key |
API key for authenticating requests to the Hyperbolic API.
TYPE:
|
allowed_models |
List of allowed model names that can be used.
TYPE:
|
name |
The default model name to use for predictions.
TYPE:
|
type |
The type identifier for this class.
TYPE:
|
Link to Allowed Models: https://app.hyperbolic.xyz/models Link to API KEYS: https://app.hyperbolic.xyz/settings
Initialize the HyperbolicVisionModel class with the provided data.
PARAMETER | DESCRIPTION |
---|---|
**data
|
Arbitrary keyword arguments containing initialization data.
TYPE:
|
Source code in swarmauri_standard/vlms/HyperbolicVLM.py
47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
|
api_key
instance-attribute
api_key
allowed_models
class-attribute
instance-attribute
allowed_models = [
"Qwen/Qwen2.5-VL-72B-Instruct",
"Qwen/Qwen2.5-VL-7B-Instruct",
"mistralai/Pixtral-12B-2409",
]
name
class-attribute
instance-attribute
name = 'Qwen/Qwen2.5-VL-72B-Instruct'
type
class-attribute
instance-attribute
type = 'HyperbolicVisionModel'
timeout
class-attribute
instance-attribute
timeout = 600.0
model_config
class-attribute
instance-attribute
model_config = ConfigDict(
extra="forbid", arbitrary_types_allowed=True
)
id
class-attribute
instance-attribute
id = Field(default_factory=generate_id)
members
class-attribute
instance-attribute
members = None
owners
class-attribute
instance-attribute
owners = None
host
class-attribute
instance-attribute
host = None
default_logger
class-attribute
default_logger = None
logger
class-attribute
instance-attribute
logger = None
version
class-attribute
instance-attribute
version = '0.1.0'
get_allowed_models
get_allowed_models()
Get a list of allowed models for the Hyperbolic API.
RETURNS | DESCRIPTION |
---|---|
List[str]
|
List[str]: List of allowed model names. |
Source code in swarmauri_standard/vlms/HyperbolicVLM.py
117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 |
|
predict_vision
predict_vision(
conversation,
temperature=0.7,
max_tokens=2048,
top_p=0.9,
stop=None,
)
Generates a response from the model based on the given conversation.
PARAMETER | DESCRIPTION |
---|---|
conversation
|
Conversation object with message history.
TYPE:
|
temperature
|
Sampling temperature for response diversity.
TYPE:
|
max_tokens
|
Maximum tokens for the model's response.
TYPE:
|
top_p
|
Cumulative probability for nucleus sampling.
TYPE:
|
stop
|
List of stop sequences for response termination.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
Conversation
|
Updated conversation with the model's response.
TYPE:
|
Source code in swarmauri_standard/vlms/HyperbolicVLM.py
137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 |
|
apredict_vision
async
apredict_vision(
conversation,
temperature=0.7,
max_tokens=2048,
top_p=0.9,
stop=None,
)
Async method to generate a response from the model based on the given conversation.
PARAMETER | DESCRIPTION |
---|---|
conversation
|
Conversation object with message history.
TYPE:
|
temperature
|
Sampling temperature for response diversity.
TYPE:
|
max_tokens
|
Maximum tokens for the model's response.
TYPE:
|
top_p
|
Cumulative probability for nucleus sampling.
TYPE:
|
stop
|
List of stop sequences for response termination.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
Conversation
|
Updated conversation with the model's response.
TYPE:
|
Source code in swarmauri_standard/vlms/HyperbolicVLM.py
181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 |
|
stream
stream(
conversation,
temperature=0.7,
max_tokens=2048,
top_p=0.9,
stop=None,
)
Streams response text from the model in real-time.
PARAMETER | DESCRIPTION |
---|---|
conversation
|
Conversation object with message history.
TYPE:
|
temperature
|
Sampling temperature for response diversity.
TYPE:
|
max_tokens
|
Maximum tokens for the model's response.
TYPE:
|
top_p
|
Cumulative probability for nucleus sampling.
TYPE:
|
stop
|
List of stop sequences for response termination.
TYPE:
|
YIELDS | DESCRIPTION |
---|---|
str
|
Partial response content from the model.
TYPE::
|
Source code in swarmauri_standard/vlms/HyperbolicVLM.py
228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 |
|
astream
async
astream(
conversation,
temperature=0.7,
max_tokens=2048,
top_p=0.9,
stop=None,
)
Async generator that streams response text from the model in real-time.
PARAMETER | DESCRIPTION |
---|---|
conversation
|
Conversation object with message history.
TYPE:
|
temperature
|
Sampling temperature for response diversity.
TYPE:
|
max_tokens
|
Maximum tokens for the model's response.
TYPE:
|
top_p
|
Cumulative probability for nucleus sampling.
TYPE:
|
stop
|
List of stop sequences for response termination.
TYPE:
|
YIELDS | DESCRIPTION |
---|---|
str
|
Partial response content from the model.
TYPE::
|
Source code in swarmauri_standard/vlms/HyperbolicVLM.py
279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 |
|
batch
batch(
conversations,
temperature=0.7,
max_tokens=2048,
top_p=0.9,
stop=None,
)
Processes a batch of conversations and generates responses for each sequentially.
PARAMETER | DESCRIPTION |
---|---|
conversations
|
List of conversations to process.
TYPE:
|
temperature
|
Sampling temperature for response diversity.
TYPE:
|
max_tokens
|
Maximum tokens for each response.
TYPE:
|
top_p
|
Cumulative probability for nucleus sampling.
TYPE:
|
stop
|
List of stop sequences for response termination.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
List[Conversation]
|
List[Conversation]: List of updated conversations with model responses. |
Source code in swarmauri_standard/vlms/HyperbolicVLM.py
333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 |
|
abatch
async
abatch(
conversations,
temperature=0.7,
max_tokens=2048,
top_p=0.9,
stop=None,
max_concurrent=5,
)
Async method for processing a batch of conversations concurrently.
PARAMETER | DESCRIPTION |
---|---|
conversations
|
List of conversations to process.
TYPE:
|
temperature
|
Sampling temperature for response diversity.
TYPE:
|
max_tokens
|
Maximum tokens for each response.
TYPE:
|
top_p
|
Cumulative probability for nucleus sampling.
TYPE:
|
stop
|
List of stop sequences for response termination.
TYPE:
|
max_concurrent
|
Maximum number of concurrent requests.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
List[Conversation]
|
List[Conversation]: List of updated conversations with model responses. |
Source code in swarmauri_standard/vlms/HyperbolicVLM.py
366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 |
|
register_model
classmethod
register_model()
Decorator to register a base model in the unified registry.
RETURNS | DESCRIPTION |
---|---|
Callable
|
A decorator function that registers the model class.
TYPE:
|
Source code in swarmauri_base/DynamicBase.py
562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 |
|
register_type
classmethod
register_type(resource_type=None, type_name=None)
Decorator to register a subtype under one or more base models in the unified registry.
PARAMETER | DESCRIPTION |
---|---|
resource_type
|
The base model(s) under which to register the subtype. If None, all direct base classes (except DynamicBase) are used.
TYPE:
|
type_name
|
An optional custom type name for the subtype.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
Callable
|
A decorator function that registers the subtype.
TYPE:
|
Source code in swarmauri_base/DynamicBase.py
587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 |
|
model_validate_toml
classmethod
model_validate_toml(toml_data)
Validate a model from a TOML string.
Source code in swarmauri_base/TomlMixin.py
12 13 14 15 16 17 18 19 20 21 22 23 24 |
|
model_dump_toml
model_dump_toml(
fields_to_exclude=None, api_key_placeholder=None
)
Return a TOML representation of the model.
Source code in swarmauri_base/TomlMixin.py
26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
|
model_validate_yaml
classmethod
model_validate_yaml(yaml_data)
Validate a model from a YAML string.
Source code in swarmauri_base/YamlMixin.py
11 12 13 14 15 16 17 18 19 20 21 22 23 |
|
model_dump_yaml
model_dump_yaml(
fields_to_exclude=None, api_key_placeholder=None
)
Return a YAML representation of the model.
Source code in swarmauri_base/YamlMixin.py
25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
|
model_post_init
model_post_init(logger=None)
Assign a logger instance after model initialization.
Source code in swarmauri_base/LoggerMixin.py
23 24 25 26 27 28 |
|
add_allowed_model
add_allowed_model(model)
Add a new model to the list of allowed models.
RAISES | DESCRIPTION |
---|---|
ValueError
|
If the model is already in the allowed models list. |
Source code in swarmauri_base/vlms/VLMBase.py
27 28 29 30 31 32 33 34 35 36 |
|
remove_allowed_model
remove_allowed_model(model)
Remove a model from the list of allowed models.
RAISES | DESCRIPTION |
---|---|
ValueError
|
If the model is not in the allowed models list. |
Source code in swarmauri_base/vlms/VLMBase.py
38 39 40 41 42 43 44 45 46 47 |
|