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duyntnet/Maverick-7B-imatrix-GGUF
Maverick-7B-imatrix-GGUF is a text generation model from duyntnet. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
Quantizations of https://huggingface.co/feeltheAGI/Maverick-7B
Downloads · 30 days
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From the Hugging Face model README
Quantizations of https://huggingface.co/feeltheAGI/Maverick-7B
This model is a merge of the following models:
| Task | Version | Metric | Value | Stderr | |
|---|---|---|---|---|---|
| truthfulqa_mc | 1 | mc1 | 0.5165 | ± | 0.0175 |
| mc2 | 0.6661 | ± | 0.0152 |
| Task | Version | Metric | Value | Stderr | |
|---|---|---|---|---|---|
| arc_challenge | 0 | acc | 0.6442 | ± | 0.0140 |
| acc_norm | 0.6570 | ± | 0.0139 | ||
| arc_easy | 0 | acc | 0.8645 | ± | 0.0070 |
| acc_norm | 0.8304 | ± | 0.0077 | ||
| boolq | 1 | acc | 0.8850 | ± | 0.0056 |
| hellaswag | 0 | acc | 0.6813 | ± | 0.0047 |
| acc_norm | 0.8571 | ± | 0.0035 | ||
| openbookqa | 0 | acc | 0.3640 | ± | 0.0215 |
| acc_norm | 0.4800 | ± | 0.0224 | ||
| piqa | 0 | acc | 0.8324 | ± | 0.0087 |
| acc_norm | 0.8460 | ± | 0.0084 | ||
| winogrande | 0 | acc | 0.7869 | ± | 0.0115 |
| Task | Version | Metric | Value | Stderr | |
|---|---|---|---|---|---|
| agieval_aqua_rat | 0 | acc | 0.2717 | ± | 0.0280 |
| acc_norm | 0.2559 | ± | 0.0274 | ||
| agieval_logiqa_en | 0 | acc | 0.3902 | ± | 0.0191 |
| acc_norm | 0.3856 | ± | 0.0191 | ||
| agieval_lsat_ar | 0 | acc | 0.2565 | ± | 0.0289 |
| acc_norm | 0.2478 | ± | 0.0285 | ||
| agieval_lsat_lr | 0 | acc | 0.5118 | ± | 0.0222 |
| acc_norm | 0.5216 | ± | 0.0221 | ||
| agieval_lsat_rc | 0 | acc | 0.6543 | ± | 0.0291 |
| acc_norm | 0.6506 | ± | 0.0291 | ||
| agieval_sat_en | 0 | acc | 0.7961 | ± | 0.0281 |
| acc_norm | 0.8010 | ± | 0.0279 | ||
| agieval_sat_en_without_passage | 0 | acc | 0.4660 | ± | 0.0348 |
| acc_norm | 0.4709 | ± | 0.0349 | ||
| agieval_sat_math | 0 | acc | 0.3227 | ± | 0.0316 |
| acc_norm | 0.3045 | ± | 0.0311 |
| Task | Version | Metric | Value | Stderr | |
|---|---|---|---|---|---|
| bigbench_causal_judgement | 0 | multiple_choice_grade | 0.5684 | ± | 0.0360 |
| bigbench_date_understanding | 0 | multiple_choice_grade | 0.6612 | ± | 0.0247 |
| bigbench_disambiguation_qa | 0 | multiple_choice_grade | 0.4380 | ± | 0.0309 |
| bigbench_geometric_shapes | 0 | multiple_choice_grade | 0.2173 | ± | 0.0218 |
| exact_str_match | 0.0000 | ± | 0.0000 | ||
| bigbench_logical_deduction_five_objects | 0 | multiple_choice_grade | 0.3320 | ± | 0.0211 |
| bigbench_logical_deduction_seven_objects | 0 | multiple_choice_grade | 0.2243 | ± | 0.0158 |
| bigbench_logical_deduction_three_objects | 0 | multiple_choice_grade | 0.5667 | ± | 0.0287 |
| bigbench_movie_recommendation | 0 | multiple_choice_grade | 0.4260 | ± | 0.0221 |
| bigbench_navigate | 0 | multiple_choice_grade | 0.5310 | ± | 0.0158 |
| bigbench_reasoning_about_colored_objects | 0 | multiple_choice_grade | 0.7230 | ± | 0.0100 |
| bigbench_ruin_names | 0 | multiple_choice_grade | 0.5379 | ± | 0.0236 |
| bigbench_salient_translation_error_detection | 0 | multiple_choice_grade | 0.2956 | ± | 0.0145 |
| bigbench_snarks | 0 | multiple_choice_grade | 0.6961 | ± | 0.0343 |
| bigbench_sports_understanding | 0 | multiple_choice_grade | 0.7424 | ± | 0.0139 |
| bigbench_temporal_sequences | 0 | multiple_choice_grade | 0.4690 | ± | 0.0158 |
| bigbench_tracking_shuffled_objects_five_objects | 0 | multiple_choice_grade | 0.2304 | ± | 0.0119 |
| bigbench_tracking_shuffled_objects_seven_objects | 0 | multiple_choice_grade | 0.1880 | ± | 0.0093 |
| bigbench_tracking_shuffled_objects_three_objects | 0 | multiple_choice_grade | 0.5667 | ± | 0.0287 |