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01neuralmagic /quantized-llama-3.1-leaderboard-v2-evals Open LLM Leaderboard v2 Benchmark Results This artifact contains all the data from evaluations of Neural Magic's quantized Llama-3.1 models. These evaluations were produced with lm-evaluation-harness by running the following command: lm_eval \ --model vllm \ --model_args pretrained="<model_path>",dtype=auto,add_bos_token=False,max_model_len=4096,tensor_parallel_size="<num_gpus>",gpu_memory_utilization=0.8,enable_chunked_prefill=True \ --apply_chat_template \… See the full description on the dataset page: https://huggingface.co/datasets/neuralmagic/quantized-llama-3.1-leaderboard-v2-evals.tabular100K<n<1M0 likes1.3k downloads2y agoHugging Face02open-llm-leaderboard /sakhan10__quantized_open_llama_3b_v2-detailsgated Dataset Card for Evaluation run of sakhan10/quantized_open_llama_3b_v2 Dataset automatically created during the evaluation run of model sakhan10/quantized_open_llama_3b_v2 The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/sakhan10__quantized_open_llama_3b_v2-details.tabular10K<n<100K0 likes17 downloads2y agoHugging Face03happy8825 /bitandbytes_quantized /hub_data4/seohyun/saves/ecva_instruct_1223/full/sft/checkpoint-350 · happy8825/valid_ecva_clean results Model: /hub_data4/seohyun/saves/ecva_instruct_1223/full/sft/checkpoint-350 Dataset: happy8825/valid_ecva_clean Generated: 2025-12-24 06:13:30Z Metrics Metric Value Total samples 924 With GT 0 Parsed answers 0 Top-1 accuracy 0 Recall@5 0 MRR 0 The uploaded JSON contains full per-sample predictions produced via t3_infer_with_vllm.bash.… See the full description on the dataset page: https://huggingface.co/datasets/happy8825/bitandbytes_quantized.tabularn<1K0 likes13 downloads10mo agoHugging Face04happy8825 /fp8_quantized /hub_data4/seohyun/saves/ecva_instruct_1223/full/sft/checkpoint-350-fp8 · happy8825/valid_ecva_clean results Model: /hub_data4/seohyun/saves/ecva_instruct_1223/full/sft/checkpoint-350-fp8 Dataset: happy8825/valid_ecva_clean Generated: 2025-12-24 05:49:28Z Metrics Metric Value Total samples 924 With GT 0 Parsed answers 0 Top-1 accuracy 0 Recall@5 0 MRR 0 The uploaded JSON contains full per-sample predictions produced via t3_infer_with_vllm.bash.… See the full description on the dataset page: https://huggingface.co/datasets/happy8825/fp8_quantized.tabularn<1K0 likes3 downloads10mo agoHugging Face

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