architecture
dict
weight_memory_mib
dict
kv_cache
dict
empirical_verification
dict
{ "1.7B": { "hidden": 2048, "layers": 28, "heads": 16, "kv_heads": 8, "head_dim": 128, "intermediate": 6144, "vocab": 151669, "tied": true }, "4B": { "hidden": 2560, "layers": 36, "heads": 32, "kv_heads": 8, "head_dim": 128, "intermediate": 9728, "vocab"...
{ "q2_0_all_incl_embed_lmhead": { "1.7B": 435.7, "4B": 1018.7, "8B": 2074.2 }, "q2_0_proj_only_fp16_embed": { "1.7B": 949.5, "4B": 1661, "8B": 4129.3 }, "reference_full_fp16_gib": { "1.7B": 3.2, "4B": 7.49, "8B": 15.25 } }
{ "elements_per_token": { "1.7B": 57344, "4B": 73728, "8B": 73728 }, "bytes_per_element_by_precision": { "FP16": 2, "Q8_0": 1.0625, "Q5_1": 0.75, "Q5_0": 0.6875, "Q4_1": 0.625, "Q4_0": 0.5625 } }
{ "model": "Ternary-Bonsai-4B (checkpoint-600, v2 internal_qat LoRA r256)", "context": 4096, "predicted_mib": 1594.7, "measured_after_load_mib": 1681.2, "measured_after_3742_tokens_mib": 1768.1, "overhead_after_load_mib": 86.5, "overhead_after_generation_mib": 87, "note": "KV-cache buffer allocated stat...