File size: 1,407 Bytes
120474f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
{
  "name": "kuclab_v1",
  "version": "1.0",
  "public": true,
  "samples": 28321,
  "instruction_rows": 28222,
  "messages_rows": 99,
  "text_rows": 0,
  "identity_name": "KucLab V1.0",
  "founder": "Jaroslav Kučera",
  "trained_on": "2026-07-26",
  "base_model_target": "google/gemma-2-9b-it (preferred) or google/gemma-2-9b",
  "ollama_name": "kuclab-v1",
  "built_at": "2026-07-26T13:50:59.241361+00:00",
  "sources": {
    "code:CodeAlpaca-20k": 11000,
    "kuclab_v06_reuse": 6000,
    "wiki_history_en": 4000,
    "wiki_history_cs": 4000,
    "kuclab_stack": 1100,
    "czech_code_chat": 800,
    "kuclab_pro": 1200,
    "tools_json_v1": 94,
    "personality_v1": 47,
    "code_seed_v1": 20,
    "public_qa_v1": 8,
    "anti_refusal_v1": 15,
    "history_seed_v1": 22,
    "fluency_v1": 10,
    "multiturn_v1": 5
  },
  "goals": [
    "First public KucLab flagship",
    "Czech + English fluency",
    "Strong software engineering",
    "History-focused knowledge",
    "Anti-overrefusal / no identity collapse",
    "Portable JSON tool calling",
    "Cyber direct product voice"
  ],
  "train_tips": [
    "Base: google/gemma-2-9b-it + QLoRA on L4 24GB",
    "dataset_format: alpaca (auto-detects messages)",
    "max_seq_length: 2048",
    "epochs: 1.5–2.0, lr: 1e-4 QLoRA, lora_r: 64",
    "identity_repeat: 1",
    "After train: run eval_prompts.jsonl smoke tests before public announce"
  ]
}