Instructions to use tangledgroup/tangled-alpha-0.14-core with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tangledgroup/tangled-alpha-0.14-core with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="tangledgroup/tangled-alpha-0.14-core")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tangledgroup/tangled-alpha-0.14-core", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use tangledgroup/tangled-alpha-0.14-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-0.14-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-0.14-core", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/tangledgroup/tangled-alpha-0.14-core
- SGLang
How to use tangledgroup/tangled-alpha-0.14-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-0.14-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-0.14-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-0.14-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-0.14-core", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use tangledgroup/tangled-alpha-0.14-core with Docker Model Runner:
docker model run hf.co/tangledgroup/tangled-alpha-0.14-core
eval
Browse files
README.md
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```
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```bash
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```
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```
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| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
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|-----------------------------------------------------------|-------|------|-----:|-----------------------|---|-----:|---|------|
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|leaderboard | N/A| | | | | | | |
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| - leaderboard_bbh | N/A| | | | | | | |
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| - leaderboard_bbh_boolean_expressions | 1|none | 3|acc_norm |↑ |0.4560|± |0.0316|
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| - leaderboard_bbh_causal_judgement | 1|none | 3|acc_norm |↑ |0.5187|± |0.0366|
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| - leaderboard_bbh_date_understanding | 1|none | 3|acc_norm |↑ |0.2000|± |0.0253|
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| - leaderboard_bbh_disambiguation_qa | 1|none | 3|acc_norm |↑ |0.3400|± |0.0300|
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| - leaderboard_bbh_formal_fallacies | 1|none | 3|acc_norm |↑ |0.4680|± |0.0316|
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| - leaderboard_bbh_geometric_shapes | 1|none | 3|acc_norm |↑ |0.0880|± |0.0180|
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| - leaderboard_bbh_hyperbaton | 1|none | 3|acc_norm |↑ |0.5160|± |0.0317|
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| - leaderboard_bbh_logical_deduction_five_objects | 1|none | 3|acc_norm |↑ |0.1880|± |0.0248|
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| - leaderboard_bbh_logical_deduction_seven_objects | 1|none | 3|acc_norm |↑ |0.1440|± |0.0222|
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| - leaderboard_bbh_logical_deduction_three_objects | 1|none | 3|acc_norm |↑ |0.3360|± |0.0299|
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| - leaderboard_bbh_movie_recommendation | 1|none | 3|acc_norm |↑ |0.2680|± |0.0281|
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| - leaderboard_bbh_navigate | 1|none | 3|acc_norm |↑ |0.5800|± |0.0313|
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| - leaderboard_bbh_object_counting | 1|none | 3|acc_norm |↑ |0.0560|± |0.0146|
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| - leaderboard_bbh_penguins_in_a_table | 1|none | 3|acc_norm |↑ |0.2055|± |0.0336|
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| - leaderboard_bbh_reasoning_about_colored_objects | 1|none | 3|acc_norm |↑ |0.1400|± |0.0220|
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| - leaderboard_bbh_ruin_names | 1|none | 3|acc_norm |↑ |0.2160|± |0.0261|
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| - leaderboard_bbh_salient_translation_error_detection | 1|none | 3|acc_norm |↑ |0.1120|± |0.0200|
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| - leaderboard_bbh_snarks | 1|none | 3|acc_norm |↑ |0.5056|± |0.0376|
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| - leaderboard_bbh_sports_understanding | 1|none | 3|acc_norm |↑ |0.4800|± |0.0317|
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| - leaderboard_bbh_temporal_sequences | 1|none | 3|acc_norm |↑ |0.2840|± |0.0286|
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| - leaderboard_bbh_tracking_shuffled_objects_five_objects | 1|none | 3|acc_norm |↑ |0.2400|± |0.0271|
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| - leaderboard_bbh_tracking_shuffled_objects_seven_objects| 1|none | 3|acc_norm |↑ |0.1520|± |0.0228|
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| - leaderboard_bbh_tracking_shuffled_objects_three_objects| 1|none | 3|acc_norm |↑ |0.3320|± |0.0298|
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| - leaderboard_bbh_web_of_lies | 1|none | 3|acc_norm |↑ |0.4880|± |0.0317|
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| - leaderboard_gpqa | N/A| | | | | | | |
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| - leaderboard_gpqa_diamond | 1|none | 0|acc_norm |↑ |0.2071|± |0.0289|
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| - leaderboard_gpqa_extended | 1|none | 0|acc_norm |↑ |0.2637|± |0.0189|
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| - leaderboard_gpqa_main | 1|none | 0|acc_norm |↑ |0.2612|± |0.0208|
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| - leaderboard_ifeval | 3|none | 0|inst_level_loose_acc |↑ |0.2590|± | N/A|
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| | |none | 0|inst_level_strict_acc |↑ |0.2494|± | N/A|
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| | |none | 0|prompt_level_loose_acc |↑ |0.1497|± |0.0154|
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| | |none | 0|prompt_level_strict_acc|↑ |0.1405|± |0.0150|
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| - leaderboard_math_hard | N/A| | | | | | | |
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| - leaderboard_math_algebra_hard | 2|none | 4|exact_match |↑ |0.0008|± |0.0008|
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| - leaderboard_math_counting_and_prob_hard | 2|none | 4|exact_match |↑ |0.0000|± | 0|
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| - leaderboard_math_geometry_hard | 2|none | 4|exact_match |↑ |0.0000|± | 0|
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| - leaderboard_math_intermediate_algebra_hard | 2|none | 4|exact_match |↑ |0.0000|± | 0|
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| - leaderboard_math_num_theory_hard | 2|none | 4|exact_match |↑ |0.0000|± | 0|
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| - leaderboard_math_prealgebra_hard | 2|none | 4|exact_match |↑ |0.0000|± | 0|
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| - leaderboard_math_precalculus_hard | 2|none | 4|exact_match |↑ |0.0000|± | 0|
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| - leaderboard_mmlu_pro | 0.1|none | 5|acc |↑ |0.1112|± |0.0029|
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| - leaderboard_musr | N/A| | | | | | | |
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| - leaderboard_musr_murder_mysteries | 1|none | 0|acc_norm |↑ |0.5240|± |0.0316|
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| - leaderboard_musr_object_placements | 1|none | 0|acc_norm |↑ |0.2578|± |0.0274|
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| - leaderboard_musr_team_allocation | 1|none | 0|acc_norm |↑ |0.3960|± |0.0310|
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```
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```bash
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