| --- |
| language: |
| - en |
| tags: |
| - qwen3 |
| - causal-lm |
| - natural-farming |
| - agriculture |
| - copyleft-cultivars |
| base_model: Qwen/Qwen3-0.6B |
| pipeline_tag: text-generation |
| --- |
| |
| # localNFchatbot |
|
|
| `localNFchatbot` is the CopyleftCultivars local natural-farming chatbot model. |
|
|
| This repository contains the **v5 clean** merged model checkpoint, promoted from the local training run documented in `autoresearch/configs/v5-clean-baseline.yaml` in the source project. |
|
|
| ## Model details |
|
|
| - Base model: `Qwen/Qwen3-0.6B` |
| - Training/merge source: local LoRA adapter `outputs/lora-adapter-p6-lr5e5-r2` |
| - Uploaded checkpoint: `outputs/merged-model-p6-lr5e5-r2` |
| - Merge dtype: float16 |
| - Format: Hugging Face Transformers checkpoint with `safetensors` |
|
|
| ## Intended use |
|
|
| Text generation for natural-farming, soil, compost, natural fertilizer, and agroecology chatbot experiments. |
|
|
| ## Loading example |
|
|
| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| repo_id = "CopyleftCultivars/localNFchatbot" |
| |
| tokenizer = AutoTokenizer.from_pretrained(repo_id) |
| model = AutoModelForCausalLM.from_pretrained(repo_id, device_map="auto") |
| |
| messages = [ |
| {"role": "user", "content": "How can I make a simple natural fertilizer for seedlings?"}, |
| ] |
| text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
| inputs = tokenizer(text, return_tensors="pt").to(model.device) |
| outputs = model.generate(**inputs, max_new_tokens=256, temperature=0.6, top_p=0.95, do_sample=True) |
| print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
| ``` |
|
|
| ## Notes |
|
|
| This is an experimental fine-tuned local model. Validate recommendations against local ecological context and safety requirements before applying them in the field. |
|
|
