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Model: UmutArchery/Bozdogan-7B Source: Original Platform
2026-09-01 04:16:16 +08:00
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--- a/README.md
+++ b/README.md
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+---
+license: apache-2.0
+language:
+- tr
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+- turkish
+- türkçe
+- chat
+- bozdogan
+pipeline_tag: text-generation
+---
+
+# 🦅 Bozdoğan-7B
+
+**Bozdoğan**, Umut Archery tarafından eğitilen ve geliştirilen Türkçe sohbet (chat) yapay zeka modelidir. Qwen 2.5 7B Instruct temel modeli üzerine ~10.000 Türkçe sohbet örneğiyle ince ayar yapılmış, tek parça tam modeldir (vLLM / serverless ile doğrudan çalışır).
+
+## Model Detayları
+
+- **Geliştirici:** Umut Archery
+- **Model Adı:** Bozdoğan-7B
+- **Temel Model:** Qwen/Qwen2.5-7B-Instruct
+- **Dil:** Türkçe 🇹🇷
+- **Eğitim Verisi:** ~10.000 Türkçe sohbet örneği
+- **Lisans:** Apache 2.0
+
+Bozdoğan kendi kimliğini bilir: kendisine kim olduğu sorulduğunda Bozdoğan olduğunu ve Umut Archery tarafından geliştirildiğini söyler.
+
+## Kullanım
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained(
+    "UmutArchery/Bozdogan-7B",
+    device_map="auto",
+    dtype=torch.bfloat16,
+    trust_remote_code=True
+)
+tokenizer = AutoTokenizer.from_pretrained("UmutArchery/Bozdogan-7B")
+
+SYSTEM = "Sen Bozdoğan'sın. Umut Archery tarafından eğitilen ve geliştirilen bir Türkçe yapay zeka asistanısın."
+
+def sor(soru):
+    prompt = f"<|im_start|>system\n{SYSTEM}<|im_end|>\n<|im_start|>user\n{soru}<|im_end|>\n<|im_start|>assistant\n"
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    out = model.generate(**inputs, max_new_tokens=300, temperature=0.7, top_p=0.9, do_sample=True)
+    cevap = tokenizer.decode(out[0], skip_special_tokens=False)
+    s = cevap.rfind("<|im_start|>assistant\n") + len("<|im_start|>assistant\n")
+    e = cevap.find("<|im_end|>", s)
+    return cevap[s:e].strip() if e != -1 else cevap[s:].strip()
+
+print(sor("Merhaba, kendini tanıtır mısın?"))
+```
+
+## Eğitim Sonuçları
+
+| Metrik | Değer |
+|--------|-------|
+| Train Loss | ~0.53 |
+| Eval Loss | ~0.59 |
+| Token Doğruluğu | ~%88 |
+
+## Donanım
+
+- **GPU:** NVIDIA A100 80GB
+- **Eğitim Süresi:** ~40 dk (ana model) + ~6 dk (kimlik eğitimi)
+
+## Sınırlamalar
+
+Bozdoğan ~10.000 örnekle eğitilmiş 7B'lik bir modeldir. Karmaşık akıl yürütme veya uzmanlık gerektiren konularda hata yapabilir. Kritik konularda verdiği bilgileri doğrulayın.
+
+---
+
+*Bozdoğan, Umut Archery tarafından geliştirilmiştir. 🦅*
--- 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 Qwen, created by Alibaba Cloud. 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 Qwen, created by Alibaba Cloud. You 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
@@ -0,0 +1,61 @@
+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "float16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "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",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.12.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,14 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.05,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "5.12.0"
+}
--- a/model.safetensors
+++ b/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a117c6d5bc38d15796b83e65500ca6b5291009a6c32e4a54205a6002b24f7081
+size 15231271816
--- a/tokenizer.json
+++ b/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,30 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "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,
+  "local_files_only": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}