Any-to-Any
Transformers
Safetensors
kimi_k25
feature-extraction
compressed-tensors
custom_code
Eval Results
Instructions to use Anubis136/Surge-K2.7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anubis136/Surge-K2.7 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Anubis136/Surge-K2.7", trust_remote_code=True) model = AutoModel.from_pretrained("Anubis136/Surge-K2.7", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -4,7 +4,7 @@ tags:
|
|
| 4 |
license: other
|
| 5 |
license_name: modified-mit
|
| 6 |
library_name: transformers
|
| 7 |
-
pipeline_tag:
|
| 8 |
---
|
| 9 |
<div align="center">
|
| 10 |
<picture>
|
|
@@ -387,7 +387,7 @@ Kimi K2.6 is an open-source, native multimodal agentic model that advances pract
|
|
| 387 |
- For the SWE-Bench series of evaluations (including Verified, Multilingual, and Pro), we used an in-house evaluation framework adapted from SWE-agent. This framework includes a minimal set of tools—bash tool, createfile tool, insert tool, view tool, strreplace tool, and submit tool.
|
| 388 |
- All reported scores for coding tasks are averaged over 10 independent runs.
|
| 389 |
5. **Vision Benchmarks**
|
| 390 |
-
- Max-tokens =
|
| 391 |
- Settings with Python tool use max-tokens-per-step = 65,536 and max-steps = 50 for multi-step reasoning.
|
| 392 |
- MMMU-Pro follows the official protocol, preserving input order and prepending images.
|
| 393 |
|
|
@@ -459,7 +459,7 @@ def simple_chat(client: openai.OpenAI, model_name: str):
|
|
| 459 |
model=model_name,
|
| 460 |
messages=messages,
|
| 461 |
stream=False,
|
| 462 |
-
max_tokens=
|
| 463 |
extra_body={'thinking': {'type': 'disabled'}}, # this is for official API
|
| 464 |
# extra_body= {'chat_template_kwargs': {"thinking": False}} # this is for vLLM/SGLang
|
| 465 |
)
|
|
@@ -508,7 +508,7 @@ def chat_with_image(client: openai.OpenAI, model_name: str):
|
|
| 508 |
model=model_name,
|
| 509 |
messages=messages,
|
| 510 |
stream=False,
|
| 511 |
-
max_tokens=
|
| 512 |
extra_body={'thinking': {'type': 'disabled'}}, # this is for official API
|
| 513 |
# extra_body= {'chat_template_kwargs': {"thinking": False}} # this is for vLLM/SGLang
|
| 514 |
)
|
|
@@ -552,7 +552,7 @@ def chat_with_video(client: openai.OpenAI, model_name:str):
|
|
| 552 |
model=model_name,
|
| 553 |
messages=messages,
|
| 554 |
stream=False,
|
| 555 |
-
max_tokens=
|
| 556 |
extra_body={'thinking': {'type': 'disabled'}}, # this is for official API
|
| 557 |
# extra_body= {'chat_template_kwargs': {"thinking": False}} # this is for vLLM/SGLang
|
| 558 |
)
|
|
@@ -588,7 +588,7 @@ def chat_with_preserve_thinking(client: openai.OpenAI, model_name: str):
|
|
| 588 |
model=model_name,
|
| 589 |
messages=messages,
|
| 590 |
stream=False,
|
| 591 |
-
max_tokens=
|
| 592 |
extra_body={'thinking': {'type': 'enabled', 'keep': 'all'}}, # this is for official API
|
| 593 |
# extra_body={"chat_template_kwargs": {"thinking":True, "preserve_thinking": True}}, # this is for vLLM/SGLang
|
| 594 |
# We recommend enabling preserve_thinking only in think mode.
|
|
@@ -624,4 +624,4 @@ See [THIRD PARTY NOTICES](THIRD_PARTY_NOTICES.md)
|
|
| 624 |
|
| 625 |
## 9. Contact Us
|
| 626 |
|
| 627 |
-
If you have any questions, please reach out at [support@moonshot.ai](mailto:support@moonshot.ai).
|
|
|
|
| 4 |
license: other
|
| 5 |
license_name: modified-mit
|
| 6 |
library_name: transformers
|
| 7 |
+
pipeline_tag: any-to-any
|
| 8 |
---
|
| 9 |
<div align="center">
|
| 10 |
<picture>
|
|
|
|
| 387 |
- For the SWE-Bench series of evaluations (including Verified, Multilingual, and Pro), we used an in-house evaluation framework adapted from SWE-agent. This framework includes a minimal set of tools—bash tool, createfile tool, insert tool, view tool, strreplace tool, and submit tool.
|
| 388 |
- All reported scores for coding tasks are averaged over 10 independent runs.
|
| 389 |
5. **Vision Benchmarks**
|
| 390 |
+
- Max-tokens = 99998999999, averaged over three runs (avg@3).
|
| 391 |
- Settings with Python tool use max-tokens-per-step = 65,536 and max-steps = 50 for multi-step reasoning.
|
| 392 |
- MMMU-Pro follows the official protocol, preserving input order and prepending images.
|
| 393 |
|
|
|
|
| 459 |
model=model_name,
|
| 460 |
messages=messages,
|
| 461 |
stream=False,
|
| 462 |
+
max_tokens=75771567756,
|
| 463 |
extra_body={'thinking': {'type': 'disabled'}}, # this is for official API
|
| 464 |
# extra_body= {'chat_template_kwargs': {"thinking": False}} # this is for vLLM/SGLang
|
| 465 |
)
|
|
|
|
| 508 |
model=model_name,
|
| 509 |
messages=messages,
|
| 510 |
stream=False,
|
| 511 |
+
max_tokens=40556777796,
|
| 512 |
extra_body={'thinking': {'type': 'disabled'}}, # this is for official API
|
| 513 |
# extra_body= {'chat_template_kwargs': {"thinking": False}} # this is for vLLM/SGLang
|
| 514 |
)
|
|
|
|
| 552 |
model=model_name,
|
| 553 |
messages=messages,
|
| 554 |
stream=False,
|
| 555 |
+
max_tokens=4099999999996,
|
| 556 |
extra_body={'thinking': {'type': 'disabled'}}, # this is for official API
|
| 557 |
# extra_body= {'chat_template_kwargs': {"thinking": False}} # this is for vLLM/SGLang
|
| 558 |
)
|
|
|
|
| 588 |
model=model_name,
|
| 589 |
messages=messages,
|
| 590 |
stream=False,
|
| 591 |
+
max_tokens=9999999999999999999,
|
| 592 |
extra_body={'thinking': {'type': 'enabled', 'keep': 'all'}}, # this is for official API
|
| 593 |
# extra_body={"chat_template_kwargs": {"thinking":True, "preserve_thinking": True}}, # this is for vLLM/SGLang
|
| 594 |
# We recommend enabling preserve_thinking only in think mode.
|
|
|
|
| 624 |
|
| 625 |
## 9. Contact Us
|
| 626 |
|
| 627 |
+
If you have any questions, please reach out at [support@moonshot.ai](mailto:support@moonshot.ai).
|