MiniMax-M2.1-REAP-30 / reap_args.yaml
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cluster_args:
cluster_description: null
cluster_method: agglomerative
compression_ratio: 0.3
expert_sim: ttm
frequency_penalty: true
linkage_method: average
max_cluster_size: null
multi_layer: null
num_clusters: null
singleton_outlier_experts: false
singleton_super_experts: false
softmax_temperature: null
ds_args:
dataset_config_name: all
dataset_name: /mnt/work/datasets/minimax-reap-mix
dataset_test_split: test
shuffle: true
split: train
eval_args:
evalplus_tasks:
- mbpp
- humaneval
greedy: true
lm_eval_tasks:
- winogrande
- arc_challenge
- arc_easy
- boolq
- hellaswag
- mmlu
- openbookqa
- rte
min_p: 0.0
parallel_tasks: 32
results_dir: null
run_evalplus: true
run_livecodebench: true
run_lm_eval: true
run_math: false
run_wildbench: false
server_log_file_name: server.log
temperature: 0.7
top_k: 20
top_p: 0.8
use_server: true
vllm_port: 8000
model_args:
model_name: /pi-workspace/models/MiniMax-M2.1
num_experts_per_tok_override: null
obs_args:
distance_measure: angular
model_max_length: 4096
output_file_name: observations_256_len4096_angular-seed_42.pt
overwrite_observations: false
record_pruning_metrics_only: true
renormalize_router_weights: false
return_vllm_tokens_prompt: false
samples_per_category: 256
select_only_categories: null
split_by_category: false
truncate: false
prune_args:
n_experts_to_prune: null
overwrite_pruned_model: false
perserve_outliers: false
perserve_super_experts: false
prune_method: reap
reap_args:
debug: false
do_eval: false
plot_clusters: true
profile: false
run_observer_only: false
seed: 42
smoke_test: true