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Model: Boldt/Boldt-1B-IT-Preview
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+language:
+- de
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- instruction-tuned
+- german
+base_model:
+- Boldt/Boldt-1B
+---
+
+# Boldt-1B-IT-Preview
+
+<img src="logo.png" width="500">
+
+**Boldt-1B-IT-Preview** is a preview of an instruction-tuned German language model, fine-tuned on top of [Boldt-1B](https://huggingface.co/Boldt/Boldt-1B). It is part of the **Boldt** series of German Small Language Models (SLMs) trained from scratch at Humboldt-Universität zu Berlin.
+
+- [Boldt-DC-350M](https://huggingface.co/Boldt/Boldt-DC-350M)
+- [Boldt-DC-1B](https://huggingface.co/Boldt/Boldt-DC-1B)
+- [Boldt-1B](https://huggingface.co/Boldt/Boldt-1B)
+- **Boldt-1B-IT-Preview** *(this model)*
+
+> **Preview status.** This is an early release intended to demonstrate instruction-following capabilities emerging from our quality-focused pre-training recipe. It has not undergone systematic safety evaluation and should not be used in production settings without further assessment.
+
+## Training data
+
+Boldt-1B-IT-Preview was fine-tuned on a curated mixture of 95k German instruction-output pairs from four sources:
+
+- **Aya:** German subset of the [Aya dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset), consisting of approximately 200 human-authored instruction-output pairs.
+- **SmolTalk2 (DE, improved):** an improved German subset of the [SmolTalk2](https://huggingface.co/datasets/HuggingFaceTB/smoltalk2) dataset. We adjusted 52k prompts for more natural flowing German and regenerated outputs using [Qwen-3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B) to improve their quality.
+- **r/FragReddit:** 7k prompts sourced from the [r/FragReddit](https://www.reddit.com/r/FragReddit/) subreddit. Outputs were generated using [Qwen-3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B).
+- **Synthetic Reddit:** 19k synthetic QA pairs derived from a dump of r/FragReddit posts. We used [Qwen-3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B) to filter useful posts, rephrase questions for clarity, and generate helpful and educational answers.
+- **NER instructions:** 17k NER tasks derived from 2 German NER datasets.
+
+The mixture is designed to combine broad topical coverage with naturalness of German expression, complementing the information-dense pre-training corpus underlying the base model.
+
+## Usage
+
+Boldt-1B-IT-Preview is designed for single-turn German-language instruction-following tasks. It was not fine-tuned for multi-turn conversations, and performance in multi-turn settings is not guaranteed. It uses a standard chat template and can be used as follows:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name = "Boldt/Boldt-1B-IT-Preview"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+messages = [
+    {"role": "user", "content": "Erkläre mir kurz, wie Quantencomputer funktionieren."}
+]
+
+input_ids = tokenizer.apply_chat_template(
+    messages,
+    tokenize=True,
+    add_generation_prompt=True,
+    return_tensors="pt"
+)
+
+outputs = model.generate(
+    input_ids,
+    max_new_tokens=256,
+    do_sample=True,
+    temperature=0.7,
+    top_p=0.9,
+)
+print(tokenizer.decode(outputs[0][input_ids.shape[-1]:], skip_special_tokens=True))
+```
+
+## Limitations
+
+- **Language:** This model is optimized for German. Other languages are not supported.
+- **Preview status:** This model is released as a research preview. It may produce factually incorrect or inconsistent outputs. Not optimized for multi-turn dialogue.
+- **Safety:** We have not conducted systematic evaluations for toxic content, demographic biases, or harmful stereotypes. Quality filtering during pre-training may reduce some risks relative to unfiltered corpora but cannot eliminate them. Repeated multi-epoch exposure may amplify encoded biases. Users should exercise caution in sensitive applications.
+
+## Citation
+
+```bibtex
+@misc{boldt,
+      title={Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling}, 
+      author={Ansar Aynetdinov and Patrick Haller and Alan Akbik},
+      year={2026},
+      eprint={2604.28075},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2604.28075}, 
+}
+```

added_tokens.json

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+{
+  "<|assistant|>": 32002,
+  "<|system|>": 32000,
+  "<|user|>": 32001
+}

chat_template.jinja

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+{%- if messages[0]['role'] != 'system' -%}
+{%- set messages = [{'role': 'system', 'content': 'Du bist ein hilfreicher KI-Assistent.'}] + messages -%}
+{%- endif -%}
+{%- for message in messages -%}
+{%- if message['role'] == 'user' -%}
+{{ '<|user|>
+' + message['content'] + eos_token }}
+{%- elif message['role'] == 'system' -%}
+{{ '<|system|>
+' + message['content'] + eos_token }}
+{%- elif message['role'] == 'assistant' -%}
+{% generation %}{{ '<|assistant|>
+' + message['content'] + eos_token }}{% endgeneration %}
+{%- endif -%}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+{{ '<|assistant|>
+' }}
+{%- endif -%}
+

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dtype": "bfloat16",
+  "eos_token_id": 0,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 16,
+  "pad_token_id": 1,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.3",
+  "use_cache": true,
+  "vocab_size": 32064
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": [
+    0
+  ],
+  "pad_token_id": 1,
+  "transformers_version": "4.57.3"
+}

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    {
+      "content": "<|system|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|user|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|assistant|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    }
+  ],
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<|pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<|system|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|user|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32002": {
+      "content": "<|assistant|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|system|>",
+    "<|user|>",
+    "<|assistant|>"
+  ],
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
+  "model_max_length": 4096,
+  "pad_token": "<|pad|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}