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+gguf/gemma-3-4b-est-v1-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -1,3 +1,118 @@
 ---
 license: gemma
+base_model: google/gemma-3-4b-pt
+tags:
+  - estonian
+  - gemma
+  - llama.cpp
+  - continued-pretraining
+  - summarization
+language:
+  - et
+  - en
+datasets:
+  - HuggingFaceFW/fineweb-2
+  - tartuNLP/magpie-gemma-3-12b-it-100k-et
+  - TalTechNLP/word_meanings_et
+  - TalTechNLP/inflection_et
+  - TalTechNLP/grammar_et
+  - TalTechNLP/EstQA
+  - TalTechNLP/ERRnews
+pipeline_tag: text-generation
 ---
+
+# Gemma 3 4B Estonian (v1)
+
+A Gemma 3 4B base model adapted for the **Estonian language**. The stock Gemma 3 4B
+knows surprisingly little Estonian; this model was trained to fix that while staying
+small enough to run comfortably on a phone.
+
+## What was done
+
+Two stages, both with QLoRA on a single consumer GPU (RTX 5070 12 GB, ~26 hours total):
+
+1. **Continued pretraining** on 161.5M tokens of Estonian web text
+   (the Estonian subset of [FineWeb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)),
+   packed to 2048-token blocks, one epoch, learning rate 5e-5.
+2. **Supervised fine-tuning** on ~30.5k examples (one epoch, lr 1e-4):
+   - 15k Estonian instructions from [tartuNLP/magpie-gemma-3-12b-it-100k-et](https://huggingface.co/datasets/tartuNLP/magpie-gemma-3-12b-it-100k-et)
+   - ~2.9k responses distilled from the open [EstLLM-8B](https://huggingface.co/tartuNLP/Llama-3.1-EstLLM-8B-Instruct-1125)
+     model on native Estonian prompts (dictionary explanations, inflection, reading comprehension)
+   - ~11k pairs built from public Estonian language resources:
+     EKI dictionary definitions → word ([word_meanings_et](https://huggingface.co/datasets/TalTechNLP/word_meanings_et)),
+     noun-phrase inflection ([inflection_et](https://huggingface.co/datasets/TalTechNLP/inflection_et)),
+     grammar correction with gold targets ([grammar_et](https://huggingface.co/datasets/TalTechNLP/grammar_et)),
+     extractive QA ([EstQA](https://huggingface.co/datasets/TalTechNLP/EstQA)),
+     and news summarization ([ERRnews](https://huggingface.co/datasets/TalTechNLP/ERRnews))
+
+## Evaluation
+
+Measured with the official [Estonian LLM benchmark harness](https://github.com/taltechnlp/lm-eval-harness-tasks-estonian)
+(LREC 2026, Lillepalu & Alumäe), full test sets, zero-shot with the chat template.
+Published numbers for reference models are from the benchmark paper (arXiv:2510.21193).
+
+| Task (exact match) | Gemma-3-4B-it (base) | **This model** | EstLLM-8B (published) |
+|---|---|---|---|
+| Inflection (1,400) | 0.107 | **0.779** | 0.811 |
+| Word meanings (1,000) | 0.133 | **0.252** | 0.327 |
+| Grammar correction (1,000) | 0.083 | **0.223** | 0.275 |
+| Trivia (800) | — | **0.276** | 0.586 |
+| News summarization, ROUGE-L (523) | ~0.07 | **0.162** | 0.152 |
+| National exam (1,614, macro over 8 subjects) | — | **0.445** | 0.575 |
+| **6-task average** | — | **0.356** | 0.454 |
+
+For context: Qwen3-4B-Instruct scores 0.212 and Llama-3.1-8B-Instruct 0.244 on the
+published version of this benchmark. This model beats the summarization score of
+EstLLM-8B and stays competitive with it on inflection, while being a 4B model
+trained on less than 2% of the Estonian pretraining data EstLLM used.
+
+## GGUF files
+
+| File | Size | Notes |
+|---|---|---|
+| `gguf/gemma-3-4b-est-v1-q4_k_m.gguf` | 2.49 GB | Recommended; runs on 6 GB+ phones |
+| `gguf/gemma-3-4b-est-v1-q5_k_m.gguf` | 2.83 GB | Slightly better quality |
+| `gguf/gemma-3-4b-est-v1-f16.gguf` | 7.77 GB | Reference |
+
+Works out of the box with llama.cpp, Ollama, LM Studio, and on Android/iOS via
+PocketPal AI or ChatterUI (context up to 4096 recommended).
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, Gemma3ForConditionalGeneration
+import torch
+
+tok = AutoTokenizer.from_pretrained("Abdusin/gemma-3-4b-est-v1")
+model = Gemma3ForConditionalGeneration.from_pretrained(
+    "Abdusin/gemma-3-4b-est-v1", torch_dtype=torch.bfloat16, device_map="auto")
+
+messages = [{"role": "user", "content": "Tere! Räägi veidi Tartu linna ajaloost."}]
+inputs = tok.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
+out = model.generate(inputs, max_new_tokens=300)
+print(tok.decode(out[0][inputs.shape[1]:], skip_special_tokens=True))
+```
+
+## Limitations
+
+- Trained primarily for Estonian; English and other languages were not evaluated
+  after training and may have degraded somewhat.
+- World-knowledge tasks (trivia, national exams) still trail much larger Estonian
+  models — the continued-pretraining corpus here is 161M tokens, which is small.
+- Standard LLM caveats apply: it can hallucinate confidently, and it should not be
+  used for medical, legal, or other high-stakes decisions.
+
+## License
+
+This model inherits the [Gemma Terms of Use](https://ai.google.dev/gemma/terms).
+By using or redistributing it you agree to those terms.
+
+## Credits
+
+- Base model: [Gemma 3](https://huggingface.co/google/gemma-3-4b-pt) by Google
+- Training recipe follows the published Estonian adaptation work:
+  [EstLLM](https://arxiv.org/abs/2603.02041) (teacher model),
+  [Llammas](https://arxiv.org/abs/2310.03389),
+  and the [Estonian LLM benchmark](https://arxiv.org/abs/2510.21193) by TartuNLP / TalTech
+- Datasets by TartuNLP, TalTechNLP, the Institute of the Estonian Language (EKI),
+  ERR, and the FineWeb-2 project — thank you for making them public

chat_template.jinja

@@ -0,0 +1,47 @@
+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' -%}
+    {%- if messages[0]['content'] is string -%}
+        {%- set first_user_prefix = messages[0]['content'] + '
+
+' -%}
+    {%- else -%}
+        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
+
+' -%}
+    {%- endif -%}
+    {%- set loop_messages = messages[1:] -%}
+{%- else -%}
+    {%- set first_user_prefix = "" -%}
+    {%- set loop_messages = messages -%}
+{%- endif -%}
+{%- for message in loop_messages -%}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
+        {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
+    {%- endif -%}
+    {%- if (message['role'] == 'assistant') -%}
+        {%- set role = "model" -%}
+    {%- else -%}
+        {%- set role = message['role'] -%}
+    {%- endif -%}
+    {{ '<start_of_turn>' + role + '
+' + (first_user_prefix if loop.first else "") }}
+    {%- if message['content'] is string -%}
+        {{ message['content'] | trim }}
+    {%- elif message['content'] is iterable -%}
+        {%- for item in message['content'] -%}
+            {%- if item['type'] == 'image' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{ '<start_of_turn>model
+' }}
+{%- endif -%}

config.json

@@ -0,0 +1,108 @@
+{
+  "architectures": [
+    "Gemma3ForConditionalGeneration"
+  ],
+  "boi_token_index": 255999,
+  "bos_token_id": 2,
+  "torch_dtype": "bfloat16",
+  "eoi_token_index": 256000,
+  "eos_token_id": 106,
+  "image_token_index": 262144,
+  "initializer_range": 0.02,
+  "mm_tokens_per_image": 256,
+  "model_type": "gemma3",
+  "pad_token_id": 0,
+  "text_config": {
+    "_sliding_window_pattern": 6,
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_logit_softcapping": null,
+    "bos_token_id": 2,
+    "cache_implementation": "hybrid",
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 1,
+    "final_logit_softcapping": null,
+    "head_dim": 256,
+    "hidden_activation": "gelu_pytorch_tanh",
+    "hidden_size": 2560,
+    "initializer_range": 0.02,
+    "intermediate_size": 10240,
+    "layer_types": [
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "full_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention",
+      "sliding_attention"
+    ],
+    "max_position_embeddings": 131072,
+    "model_type": "gemma3_text",
+    "num_attention_heads": 8,
+    "num_hidden_layers": 34,
+    "num_key_value_heads": 4,
+    "pad_token_id": 0,
+    "query_pre_attn_scalar": 256,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+      "full_attention": {
+        "factor": 8.0,
+        "rope_theta": 1000000.0,
+        "rope_type": "linear"
+      },
+      "sliding_attention": {
+        "rope_theta": 10000.0,
+        "rope_type": "default"
+      }
+    },
+    "sliding_window": 1024,
+    "sliding_window_pattern": 6,
+    "tie_word_embeddings": true,
+    "use_bidirectional_attention": false,
+    "use_cache": true,
+    "vocab_size": 262208
+  },
+  "tie_word_embeddings": true,
+  "vision_config": {
+    "attention_dropout": 0.0,
+    "torch_dtype": "bfloat16",
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_size": 1152,
+    "image_size": 896,
+    "intermediate_size": 4304,
+    "layer_norm_eps": 1e-06,
+    "model_type": "siglip_vision_model",
+    "num_attention_heads": 16,
+    "num_channels": 3,
+    "num_hidden_layers": 27,
+    "patch_size": 14,
+    "vision_use_head": false
+  }
+}

generation_config.json

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+{
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "do_sample": true,
+  "eos_token_id": [
+    1,
+    106
+  ],
+  "pad_token_id": 0,
+  "top_k": 64,
+  "top_p": 0.95,
+  "transformers_version": "5.5.0"
+}

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