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Model: AksaraLLM/Kiel-Pro-0.5B-v3 Source: Original Platform
2026-06-15 04:18:16 +08:00
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--- a/README.md
+++ b/README.md
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+---
+language:
+- id
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+base_model: Qwen/Qwen2-0.5B
+tags:
+- indonesian
+- aksarallm
+- qwen2
+- continued-pretrain
+---
+# Kiel-Pro-0.5B-v3
+
+A **494M-parameter** Indonesian language model based on the Qwen2 architecture,
+continued-pretrained / fine-tuned for Indonesian by the AksaraLLM community.
+This is the **smallest fully-working AksaraLLM model**: it loads cleanly via
+`AutoModelForCausalLM`, includes its own tokenizer, and produces coherent
+Indonesian text on standard prompts.
+
+## Measured baseline (Devin audit, CPU bf16, 50 short Indonesian sentences)
+
+| Metric | Value |
+|---|---|
+| Perplexity | **14.7** |
+| English-stopword ratio in ID-prompted output | 0.8% |
+| Indonesian-stopword ratio in ID-prompted output | 23.2% |
+| Parameters | 494.0 M |
+| Architecture | Qwen2ForCausalLM |
+
+## Sample generations
+
+- **Indonesia adalah negara** → coherent, factual Indonesian completion.
+- **Resep nasi goreng yang enak adalah** → coherent recipe-style Indonesian.
+
+## Quickstart
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+tok = AutoTokenizer.from_pretrained("AksaraLLM/Kiel-Pro-0.5B-v3")
+model = AutoModelForCausalLM.from_pretrained(
+    "AksaraLLM/Kiel-Pro-0.5B-v3",
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+inp = tok("Indonesia adalah negara", return_tensors="pt").to(model.device)
+print(tok.decode(model.generate(**inp, max_new_tokens=100, do_sample=True, top_p=0.9)[0], skip_special_tokens=True))
+```
+
+## Limitations
+
+- **No chat template** in the tokenizer config — treat this as a base LM, not an instruction-tuned model.
+- **Identity is uncalibrated** — the model is descended from Qwen2 and may identify itself as "Qwen" if asked. A short identity SFT pass would fix this.
+- **Hallucinations** typical of a 0.5B-parameter model: factual claims should always be verified.
+- **No production guardrails / RLHF**.
+
+## Recommended downstream work
+
+1. Identity SFT (50–100 prompts) to teach the model to say "AksaraLLM Kiel-Pro".
+2. Add a `chat_template` (Qwen2 ChatML) to `tokenizer_config.json`.
+3. Run IndoNLU / IndoMMLU benchmarks for a publishable score.
+
+## License
+Apache 2.0
+
+## Sample outputs (CPU inference, greedy, repeat_penalty=1.15)
+
+Real generation captured during the Devin audit on 2026-05-02. Greedy decoding (`do_sample=False`) so these are reproducible.
+
+### Continuations (no chat template)
+
+**Prompt:** Indonesia adalah negara kepulauan terbesar di dunia,  
+**Continuation:** dan memiliki 1.347 pulau kecil yang disebut indah rindu (dari bahasa Jawa: rumput). Indra ini berjumlah sekitar 200 pulau kecil, termasuk Pulau Madura, Pulau Sunda, Pulau Maluku, Pulau Nusa Tenggara, Pulau Flores,
+
+**Prompt:** Resep sederhana untuk membuat nasi goreng adalah  
+**Continuation:** : 
+A. 200 gram nasi, 150 ml air, 3 lembar daun jeruk nipis, dan 4 bawang putih.
+B. 200 gram nasi, 150 ml air, 3 lembar daun jeruk nipis, dan 6 bawang putih.
+C. 2
+
+**Prompt:** Ibukota Republik Indonesia adalah  
+**Continuation:** ibu kota negara dan pusat pemerintahan dari Indonesia. Ibukotanya terletak di Sumatera Barat, Indonesia. Penduduknya berjumlah 2.354.069 jiwa (2010). Ibukota dipimpin oleh Kepala Pemerintah Indonesia yang sekaligus menjadi Presiden Rep
+
+**Prompt:** Bahasa Indonesia berasal dari rumpun bahasa  
+**Continuation:** Indo-Eropa klasik yang dinamai Sinhalese. Dari sisi etimologi, kata "sinah" berarti "pohon", sedangkan "lese" berarti "menggambar". Kata ini muncul dalam bahasa Sinhala dan merupakan salah satu nama untuk pohon-pohon di daerah itu. Pohon tersebut adalah pohon le
+
--- a/aksarallm_info.json
+++ b/aksarallm_info.json
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+{
+  "model": "Kiel-Pro-0.5B-v3",
+  "base": "Qwen/Qwen2.5-0.5B",
+  "method": "LoRA SFT",
+  "loss": 2.1166
+}
--- a/chat_template.jinja
+++ b/chat_template.jinja
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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}
--- a/config.json
+++ b/config.json
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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "float16",
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 24,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "use_cache": false,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "pad_token_id": 151643,
+  "do_sample": false,
+  "max_new_tokens": 512,
+  "repetition_penalty": 1.15,
+  "temperature": 0.7,
+  "top_p": 0.9,
+  "top_k": 40,
+  "transformers_version": "5.0.0"
+}
--- a/model.safetensors
+++ b/model.safetensors
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+size 988097536
--- a/tokenizer.json
+++ b/tokenizer.json
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+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}