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Veri setleri

Açık LLM mimari parametreleri

Qwen, Llama, DeepSeek ve MiniMax modelleri için parametre sayısı, etkin parametre, katman, KV head, head boyutu, türetilmiş token başına KV baytı ve bağlam sınırları.

Sürüm
1.0
Güncellendi
Satır
9
Lisans
CC BY 4.0

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Model kartı yapılandırma değerleri; KV baytı 2 × katman × KV head × head boyutu × 2 olarak türetilir.

Alanlar

AlanAçıklama (EN)
modelModel id
nameModel name
familyModel family
architecturedense | moe
attentiongqa | mla | hybrid-linear
params_bTotal parameters, billions
active_params_bActive parameters per token, billions
layersTransformer layers
kv_headsKV heads
head_dimHead dimension
kv_bytes_per_token_16bitDerived KV-cache bytes per token at 16-bit (null if not modelled)
max_contextMaximum context, tokens
hf_idHugging Face repository

Önizleme

9 satırın ilk 9 satırı.

modelnamefamilyarchitectureattentionparams_bactive_params_blayerskv_headshead_dimkv_bytes_per_token_16bitmax_contexthf_id
llama-3-1-8bLlama 3.1 8B Instructllamadensegqa8.038.03328128131072131072meta-llama/Llama-3.1-8B-Instruct
llama-3-3-70bLlama 3.3 70B Instructllamadensegqa70.670.6808128327680131072meta-llama/Llama-3.3-70B-Instruct
qwen2-5-7bQwen2.5 7B Instructqwendensegqa7.617.6128412857344131072Qwen/Qwen2.5-7B-Instruct
qwen3-32bQwen3 32Bqwendensegqa32.832.8648128262144131072Qwen/Qwen3-32B
qwen3-30b-a3bQwen3 30B-A3Bqwenmoegqa30.53.348412898304131072Qwen/Qwen3-30B-A3B
qwen2-5-72bQwen2.5 72B Instructqwendensegqa72.772.7808128327680131072Qwen/Qwen2.5-72B-Instruct
deepseek-r1-distill-qwen-32bDeepSeek-R1-Distill-Qwen-32Bdeepseekdensegqa32.832.8648128262144131072deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
deepseek-v3DeepSeek-V3deepseekmoemla6713761——70272131072deepseek-ai/DeepSeek-V3
minimax-m1-80kMiniMax-M1-80kminimaxmoehybrid-linear45645.9————1000000MiniMaxAI/MiniMax-M1-80k

Değişiklik günlüğü

  • v1.0 · — Initial release.