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Convergent-ch
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Convergent-ch
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| Parameters | 20,405,376 |
| Architecture | Llama-style decoder (RMSNorm, SwiGLU, RoPE, tied embeddings) |
| Layers / hidden / MLP | 9 / 384 / 1152 |
| Attention heads | 6 (head dim 64) |
| Context | 1,024 tokens |
| Vocabulary | 8,192 (byte-level BPE) |
| Language | English |
model.safetensors, config.json, tokenizer files: Hugging Face transformers format (LlamaForCausalLM).tavik.gguf: GGUF (f16) for Ollama and llama.cpp.Modelfile: Ollama model file with the chat format and stop tokens.Download tavik.gguf and Modelfile into one folder, then:
bash
ollama create tavik-1 -f Modelfileollama run tavik-1It is small enough for a Raspberry Pi 4 or 5.
python
from transformers import AutoTokenizer, AutoModelForCausalLM tok = AutoTokenizer.from_pretrained("Convergent-ch/Tavik-1")model = AutoModelForCausalLM.from_pretrained("Convergent-ch/Tavik-1") ids = tok.apply_chat_template([{"role": "user", "content": "What is your name?"}], add_generation_prompt=True, return_tensors="pt")out = model.generate(ids, max_new_tokens=60, do_sample=False)print(tok.decode(out[0, ids.shape[1]:], skip_special_tokens=True))# My name is Tavik. I'm a small AI language model made by Convergent.text
<|bos|><|user|>Hello!<|end|><|assistant|>Generation stops at <|end|>. Temperatures around 0.3 with a light repetition penalty work best.
Real outputs (temperature 0.3):
User: Hi! Who are you? Tavik: I'm Tavik, a small AI made by Convergent. I like to chat and explain simple things!
User: What is the capital of France? Tavik: The capital of France is Paris. It is a city known for its historical landmarks, cultural institutions, and cultural institutions.
User: I feel a bit lonely today. Tavik: That's okay, I'm here to chat and explain things. Let me know if you need help with anything!
User: Why is the sky blue? Tavik: The sky blue is red because it's made up of lots of colors. When sunlight hits the sky, it creates a brightness that's almost like a sunshine.
The last one shows the typical failure: fluent, but wrong.
Three stages, all on one RTX 3060 Ti (8 GB) with MakeAI, bf16, AdamW, cosine schedule, 131,072 tokens per step:
Chat data:
Apache 2.0.
ollama create tavik-1 -f Modelfileollama run tavik-1from transformers import AutoTokenizer, AutoModelForCausalLM tok = AutoTokenizer.from_pretrained("Convergent-ch/Tavik-1")model = AutoModelForCausalLM.from_pretrained("Convergent-ch/Tavik-1") ids = tok.apply_chat_template([{"role": "user", "content": "What is your name?"}], add_generation_prompt=True, return_tensors="pt")out = model.generate(ids, max_new_tokens=60, do_sample=False)print(tok.decode(out[0, ids.shape[1]:], skip_special_tokens=True))# My name is Tavik. I'm a small AI language model made by Convergent.