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Open LLM architecture parameters

Parameter counts, active parameters, layers, KV heads, head dimension, derived KV-cache bytes per token and context limits for Qwen, Llama, DeepSeek and MiniMax models.

Version
1.0
Updated
Rows
9
License
CC BY 4.0

JSONCSV

Model-card configuration values; KV bytes derived as 2 × layers × KV heads × head dim × 2.

Fields

FieldDescription
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

Preview

First 9 of 9 rows.

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

Changelog

  • v1.0 · — Initial release.