Download models.json from leadgreen/green-token-index: direct link, hf CLI and curl.
- Browser
- Download file 9.59 kB
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https://huggingface.co/datasets/leadgreen/green-token-index/resolve/main/models.json
- Command line
-
hf download hf://datasets/leadgreen/green-token-index/models.json
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curl -L -o models.json https://huggingface.co/datasets/leadgreen/green-token-index/resolve/main/models.json
9.59 kB
| { | |
| "version": "1", | |
| "updated": "2026-10-19", | |
| "data_version": "2026-10-19", | |
| "source": { | |
| "name": "ML.ENERGY Leaderboard", | |
| "publisher": "The ML.ENERGY Initiative (started at SymbioticLab, University of Michigan)", | |
| "url": "https://ml.energy/leaderboard/", | |
| "data_url": "https://raw.githubusercontent.com/ml-energy/leaderboard/master/public/data/tasks/lm-arena-chat.json", | |
| "version": "3.0 (released 2025-12-01); data compiled 2026-02-16", | |
| "released": "2025-12-01", | |
| "compiled": "2026-02-16", | |
| "compiled_evidence": "the leaderboard's public/data/index.json last_updated, and the last commit to the task files, both 2026-02-16", | |
| "retrieved": "2026-09-26", | |
| "licence": "Apache-2.0 per the ml-energy/benchmark-v3 dataset card", | |
| "licence_evidence": [ | |
| "Hugging Face dataset ml-energy/benchmark-v3: tagged license:apache-2.0, ships a LICENSE file, and its dataset card's License section reads Apache-2.0", | |
| "The ML.ENERGY Leaderboard web app's footer says Apache 2.0", | |
| "The leaderboard repository (github.com/ml-energy/leaderboard) carries no licence file; its JSON files are reproduced here as published measurements until the ML.ENERGY team confirms that the dataset licence covers them" | |
| ], | |
| "workload": "Text Conversation (lm-arena-chat)", | |
| "method": "Energy per output token is steady-state GPU energy divided by the output tokens generated in the steady-state window (the benchmark's steady_state_energy_per_token), measured with Zeus under vLLM 0.11.1 on H100 80GB HBM3 and B200 servers. Energy per request is that figure multiplied by the average output length, not a separate measurement. Prompt processing is included.", | |
| "selection": "Each index row is the lowest-energy configuration for its model and GPU whose median inter-token latency does not exceed 500 ms, the leaderboard's own default ceiling; no measured configuration reaches it.", | |
| "cite": "Chung et al., The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization, NeurIPS 2025 Datasets and Benchmarks, arXiv 2505.06371", | |
| "cite_url": "https://arxiv.org/abs/2505.06371", | |
| "used_for": "index, per-model configurations, concurrency curves, measured GPU power", | |
| "configurations": "328 stable configurations: the leaderboard publishes the runs that passed its stability filter; every run, including the unstable ones, is in the gated Hugging Face dataset ml-energy/benchmark-v3" | |
| }, | |
| "models": [ | |
| { | |
| "slug": "deepseek-v3-1", | |
| "name": "DeepSeek V3.1", | |
| "model_id": "deepseek-ai/DeepSeek-V3.1", | |
| "params_b": 671.0, | |
| "active_params_b": 37.0, | |
| "gpus": [ | |
| "B200" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/deepseek-v3-1.json", | |
| "page": "https://leadgreen.ai/models/deepseek-v3-1/" | |
| }, | |
| { | |
| "slug": "gemma-3-12b", | |
| "name": "Gemma 3 12B", | |
| "model_id": "google/gemma-3-12b-it", | |
| "params_b": 12.0, | |
| "active_params_b": 12.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/gemma-3-12b.json", | |
| "page": "https://leadgreen.ai/models/gemma-3-12b/" | |
| }, | |
| { | |
| "slug": "gemma-3-27b", | |
| "name": "Gemma 3 27B", | |
| "model_id": "google/gemma-3-27b-it", | |
| "params_b": 27.0, | |
| "active_params_b": 27.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/gemma-3-27b.json", | |
| "page": "https://leadgreen.ai/models/gemma-3-27b/" | |
| }, | |
| { | |
| "slug": "llama-3-1-405b-instruct", | |
| "name": "Llama 3.1 405B Instruct", | |
| "model_id": "meta-llama/Llama-3.1-405B-Instruct", | |
| "params_b": 405.0, | |
| "active_params_b": 405.0, | |
| "gpus": [ | |
| "B200" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/llama-3-1-405b-instruct.json", | |
| "page": "https://leadgreen.ai/models/llama-3-1-405b-instruct/" | |
| }, | |
| { | |
| "slug": "llama-3-1-405b-instruct-fp8", | |
| "name": "Llama 3.1 405B Instruct FP8", | |
| "model_id": "meta-llama/Llama-3.1-405B-Instruct-FP8", | |
| "params_b": 405.0, | |
| "active_params_b": 405.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/llama-3-1-405b-instruct-fp8.json", | |
| "page": "https://leadgreen.ai/models/llama-3-1-405b-instruct-fp8/" | |
| }, | |
| { | |
| "slug": "llama-3-1-70b-instruct", | |
| "name": "Llama 3.1 70B Instruct", | |
| "model_id": "meta-llama/Llama-3.1-70B-Instruct", | |
| "params_b": 70.0, | |
| "active_params_b": 70.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/llama-3-1-70b-instruct.json", | |
| "page": "https://leadgreen.ai/models/llama-3-1-70b-instruct/" | |
| }, | |
| { | |
| "slug": "llama-3-1-8b-instruct", | |
| "name": "Llama 3.1 8B Instruct", | |
| "model_id": "meta-llama/Llama-3.1-8B-Instruct", | |
| "params_b": 8.0, | |
| "active_params_b": 8.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/llama-3-1-8b-instruct.json", | |
| "page": "https://leadgreen.ai/models/llama-3-1-8b-instruct/" | |
| }, | |
| { | |
| "slug": "llama-3-3-70b-instruct", | |
| "name": "Llama 3.3 70B Instruct", | |
| "model_id": "meta-llama/Llama-3.3-70B-Instruct", | |
| "params_b": 70.0, | |
| "active_params_b": 70.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/llama-3-3-70b-instruct.json", | |
| "page": "https://leadgreen.ai/models/llama-3-3-70b-instruct/" | |
| }, | |
| { | |
| "slug": "llama-4-maverick-17b-128e-instruct-fp8", | |
| "name": "Llama 4 Maverick 17B 128E Instruct FP8", | |
| "model_id": "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8", | |
| "params_b": 400.0, | |
| "active_params_b": 17.0, | |
| "gpus": [ | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/llama-4-maverick-17b-128e-instruct-fp8.json", | |
| "page": "https://leadgreen.ai/models/llama-4-maverick-17b-128e-instruct-fp8/" | |
| }, | |
| { | |
| "slug": "llama-4-scout-17b-16e-instruct", | |
| "name": "Llama 4 Scout 17B 16E Instruct", | |
| "model_id": "meta-llama/Llama-4-Scout-17B-16E-Instruct", | |
| "params_b": 109.0, | |
| "active_params_b": 17.0, | |
| "gpus": [ | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/llama-4-scout-17b-16e-instruct.json", | |
| "page": "https://leadgreen.ai/models/llama-4-scout-17b-16e-instruct/" | |
| }, | |
| { | |
| "slug": "nvidia-nemotron-nano-12b-v2", | |
| "name": "NVIDIA Nemotron Nano 12B V2", | |
| "model_id": "nvidia/NVIDIA-Nemotron-Nano-12B-v2", | |
| "params_b": 12.0, | |
| "active_params_b": 12.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/nvidia-nemotron-nano-12b-v2.json", | |
| "page": "https://leadgreen.ai/models/nvidia-nemotron-nano-12b-v2/" | |
| }, | |
| { | |
| "slug": "nvidia-nemotron-nano-9b-v2", | |
| "name": "NVIDIA Nemotron Nano 9B V2", | |
| "model_id": "nvidia/NVIDIA-Nemotron-Nano-9B-v2", | |
| "params_b": 9.0, | |
| "active_params_b": 9.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/nvidia-nemotron-nano-9b-v2.json", | |
| "page": "https://leadgreen.ai/models/nvidia-nemotron-nano-9b-v2/" | |
| }, | |
| { | |
| "slug": "qwen-3-14b", | |
| "name": "Qwen 3 14B", | |
| "model_id": "Qwen/Qwen3-14B", | |
| "params_b": 14.0, | |
| "active_params_b": 14.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/qwen-3-14b.json", | |
| "page": "https://leadgreen.ai/models/qwen-3-14b/" | |
| }, | |
| { | |
| "slug": "qwen-3-235b-a22b-instruct", | |
| "name": "Qwen 3 235B A22B Instruct", | |
| "model_id": "Qwen/Qwen3-235B-A22B-Instruct-2507", | |
| "params_b": 235.0, | |
| "active_params_b": 22.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/qwen-3-235b-a22b-instruct.json", | |
| "page": "https://leadgreen.ai/models/qwen-3-235b-a22b-instruct/" | |
| }, | |
| { | |
| "slug": "qwen-3-235b-a22b-instruct-fp8", | |
| "name": "Qwen 3 235B A22B Instruct FP8", | |
| "model_id": "Qwen/Qwen3-235B-A22B-Instruct-2507-FP8", | |
| "params_b": 235.0, | |
| "active_params_b": 22.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/qwen-3-235b-a22b-instruct-fp8.json", | |
| "page": "https://leadgreen.ai/models/qwen-3-235b-a22b-instruct-fp8/" | |
| }, | |
| { | |
| "slug": "qwen-3-30b-a3b-instruct", | |
| "name": "Qwen 3 30B A3B Instruct", | |
| "model_id": "Qwen/Qwen3-30B-A3B-Instruct-2507", | |
| "params_b": 30.0, | |
| "active_params_b": 3.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/qwen-3-30b-a3b-instruct.json", | |
| "page": "https://leadgreen.ai/models/qwen-3-30b-a3b-instruct/" | |
| }, | |
| { | |
| "slug": "qwen-3-32b", | |
| "name": "Qwen 3 32B", | |
| "model_id": "Qwen/Qwen3-32B", | |
| "params_b": 32.0, | |
| "active_params_b": 32.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/qwen-3-32b.json", | |
| "page": "https://leadgreen.ai/models/qwen-3-32b/" | |
| }, | |
| { | |
| "slug": "qwen-3-8b", | |
| "name": "Qwen 3 8B", | |
| "model_id": "Qwen/Qwen3-8B", | |
| "params_b": 8.0, | |
| "active_params_b": 8.0, | |
| "gpus": [ | |
| "B200", | |
| "H100" | |
| ], | |
| "url": "https://leadgreen.ai/api/v1/models/qwen-3-8b.json", | |
| "page": "https://leadgreen.ai/models/qwen-3-8b/" | |
| } | |
| ] | |
| } | |