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Model: Thorstin/gpt2-dutch-instruct
Source: Original Platform

.gitattributes

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+dutch-gpt2-f16.gguf filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+language:
+- nl
+license: apache-2.0
+library_name: transformers
+tags:
+- dutch
+- gpt2
+- causal-lm
+- text-generation
+- instruction-tuning
+- sft
+- trl
+- gguf
+- llama.cpp
+model_name: gpt2-dutch-instruct
+pipeline_tag: text-generation
+---
+
+# gpt2-dutch-instruct
+
+A GPT-2 small (124M parameter) language model trained **from scratch on Dutch text**, then fine-tuned for instruction following using supervised fine-tuning (SFT). This model understands and generates Dutch.
+
+## Model details
+
+| Property | Value |
+|---|---|
+| Architecture | GPT-2 small |
+| Parameters | 123.8M |
+| Layers | 12 |
+| Attention heads | 12 |
+| Hidden dimension | 768 |
+| Context length | 512 tokens |
+| Vocabulary size | 50,000 (Dutch BPE) |
+| Weights | fp16 / safetensors (473 MB) |
+| Inference speed (CPU) | 0.9 tok/s |
+
+## Files
+
+| File | Format | Size |
+|---|---|---|
+| `model.safetensors` | fp16 | 473 MB |
+| `dutch-gpt2-f16.gguf` | GGUF F16 | 249 MB |
+| `dutch-gpt2-q8_0.gguf` | GGUF Q8_0 | 132 MB |
+
+## Use with llama.cpp
+
+```bash
+# Download
+wget https://huggingface.co/Thorstin/gpt2-dutch-instruct/resolve/main/dutch-gpt2-q8_0.gguf
+
+# Run
+llama-cli -m dutch-gpt2-q8_0.gguf \
+  -p "### Instructie:\nWat is de hoofdstad van Nederland?\n### Antwoord:\n" \
+  -n 200
+```
+
+## Use with Ollama
+
+```bash
+# Create Modelfile
+cat > Modelfile << 'EOF'
+FROM ./dutch-gpt2-q8_0.gguf
+TEMPLATE """### Instructie:
+{{ .Prompt }}
+### Antwoord:
+"""
+PARAMETER temperature 0.7
+PARAMETER top_p 0.9
+PARAMETER repeat_penalty 1.3
+PARAMETER num_ctx 512
+EOF
+
+ollama create dutch-gpt2 -f Modelfile
+ollama run dutch-gpt2
+```
+
+## Training
+
+### Phase 1 — Pretraining from scratch
+
+- **Dataset:** CC-100 Dutch (~37 GB raw, ~6.6B tokens), streamed
+- **Tokenizer:** ByteLevel BPE trained on first 500K CC-100 Dutch documents
+- **Hardware:** NVIDIA Tesla T4 (16 GB VRAM)
+- **Tokens trained:** ~5B
+- **Steps:** 154,000
+- **Final loss:** 3.54
+- **Duration:** ~70 GPU hours
+- **Key settings:** `fp16=True`, `gradient_checkpointing=True`, `batch_size=32`, `lr=5e-4`, cosine scheduler
+
+### Phase 2 — Instruction fine-tuning (SFT)
+
+- **Dataset:** [`BramVanroy/alpaca-cleaned-dutch`](https://huggingface.co/datasets/BramVanroy/alpaca-cleaned-dutch) — 46,163 Dutch instruction/response pairs
+- **Framework:** TRL 1.6.0 SFTTrainer
+- **Epochs:** 3
+- **Steps:** 4,329
+- **Loss:** 3.31 → 1.14
+- **Duration:** ~1.25 hours
+
+### Instruction format
+
+```
+### Instructie:
+<vraag of instructie>
+### Antwoord:
+<antwoord>
+```
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "Thorstin/gpt2-dutch-instruct"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16)
+model.eval()
+
+def chat(instruction: str, max_new_tokens: int = 200) -> str:
+    prompt = f"### Instructie:\n{instruction}\n### Antwoord:\n"
+    inputs = tokenizer(prompt, return_tensors="pt")
+    with torch.no_grad():
+        output = model.generate(
+            **inputs,
+            max_new_tokens=max_new_tokens,
+            do_sample=True,
+            temperature=0.7,
+            top_p=0.9,
+            repetition_penalty=1.3,
+            pad_token_id=tokenizer.eos_token_id,
+        )
+    response = tokenizer.decode(output[0], skip_special_tokens=True)
+    return response.split("### Antwoord:")[-1].strip()
+
+print(chat("Wat is de hoofdstad van Nederland?"))
+```
+
+## Benchmark results (lm-evaluation-harness, limit=200)
+
+| Task | Accuracy | Accuracy (norm) |
+|---|---|---|
+| hellaswag_nl | 24.50% | 28.50% |
+| arc_nl | 19.00% | 29.00% |
+| blimp_nl | 80.67% | 79.51% |
+
+Random baseline: 50% for BLiMP-NL (binary), 25% for HellaSwag/ARC (4-way).
+
+
+## Sample outputs
+
+| Prompt | Response |
+|---|---|
+| Wat is de hoofdstad van Nederland? | De hoofdstad van Nederland is Amsterdam.... |
+| Leg uit wat fotosynthese is. | Fotosynthese is het proces waarbij planten lichtenergie van de zon omzetten in chemische energie die ze gebruiken om koo... |
+| Schrijf een kort gedicht over de zee. | De golven slaan tegen het raam, Een kalmerende bries draagt de geur van zout en vers gezette koffie. Het geluid van gebr... |
+
+## Limitations
+
+- 124M parameters is a hard ceiling — expect occasional repetition, factual errors, and shorter coherent responses compared to larger models
+- Context window is limited to 512 tokens
+
+## Framework versions
+
+| Package | Version |
+|---|---|
+| TRL | 1.6.0 |
+| Transformers | 4.48 |
+| PyTorch | 2.9.1+cu128 |
+| Datasets | 2.16 |
+| Tokenizers | 0.21 |

config.json

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+{
+  "activation_function": "gelu_new",
+  "add_cross_attention": false,
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 0,
+  "dtype": "float32",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 2,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 512,
+  "pad_token_id": 2,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.10.2",
+  "use_cache": false,
+  "vocab_size": 50000
+}

dutch-gpt2-f16.gguf

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dutch-gpt2-q8_0.gguf

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generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": [
+    2
+  ],
+  "pad_token_id": 2,
+  "transformers_version": "5.10.2"
+}

model.safetensors

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tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "errors": "replace",
+  "is_local": true,
+  "local_files_only": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<unk>"
+}