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Model: Rudblest/projedanismanai-v2-qwen3-14b Source: Original Platform
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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Qwen3-14B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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Qwen3-14B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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FROM Qwen3-14B.Q8_0.gguf
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TEMPLATE """{{- if .Messages }}
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{{- if or .System .Tools }}<|im_start|>system
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{{- if .System }}
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{{ .System }}
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{{- end }}
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{{- if .Tools }}
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# Tools
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||||
|
||||
You may call one or more functions to assist with the user query.
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||||
|
||||
You are provided with function signatures within <tools></tools> XML tags:
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||||
<tools>
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||||
{{- range .Tools }}
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{"type": "function", "function": {{ .Function }}}
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{{- end }}
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</tools>
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|
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For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
|
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<tool_call>
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{"name": <function-name>, "arguments": <args-json-object>}
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</tool_call>
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{{- end }}<|im_end|>
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{{ end }}
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{{- range $i, $_ := .Messages }}
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{{- $last := eq (len (slice $.Messages $i)) 1 -}}
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{{- if eq .Role "user" }}<|im_start|>user
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{{ .Content }}<|im_end|>
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{{ else if eq .Role "assistant" }}<|im_start|>assistant
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{{ if .Content }}{{ .Content }}
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{{- else if .ToolCalls }}<tool_call>
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{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
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{{ end }}</tool_call>
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{{- end }}{{ if not $last }}<|im_end|>
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{{ end }}
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{{- else if eq .Role "tool" }}<|im_start|>user
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<tool_response>
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{{ .Content }}
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</tool_response><|im_end|>
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{{ end }}
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{{- if and (ne .Role "assistant") $last }}<|im_start|>assistant
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{{ end }}
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{{- end }}
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{{- else }}
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{{- if .System }}<|im_start|>system
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{{ .System }}<|im_end|>
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{{ end }}{{ if .Prompt }}<|im_start|>user
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{{ .Prompt }}<|im_end|>
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{{ end }}<|im_start|>assistant
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{{ end }}{{ .Response }}{{ if .Response }}<|im_end|>{{ end }}"""
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PARAMETER stop "<|im_end|>"
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PARAMETER stop "<|im_start|>"
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PARAMETER temperature 0.6
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PARAMETER min_p 0.0
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PARAMETER top_k 20
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PARAMETER top_p 0.95
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PARAMETER repeat_penalty 1
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3
Qwen3-14B.Q4_K_M.gguf
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Qwen3-14B.Q4_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:1cc4e110bd1cef818d443668948377f67b0ec0bc845dbabdb43a24b59d0698a2
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size 9001753504
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Qwen3-14B.Q8_0.gguf
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Qwen3-14B.Q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:09793124c1ae908e8cf9874abe555394ddd46b5ae196fb9e4acb0e0285d816ad
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size 15698534304
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206
README.md
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README.md
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---
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language:
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- tr
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license: apache-2.0
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base_model: Qwen/Qwen3-14B-Instruct
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pipeline_tag: text-generation
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tags:
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- qwen3
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- turkish
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- teknofest
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- tubitak
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- fine-tuned
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- qlora
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||||
- unsloth
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- conversational
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- instruct
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library_name: transformers
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---
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||||
|
||||
<div align="center">
|
||||
|
||||
# 🎯 ProjeDanışmanAI v2
|
||||
|
||||
### TEKNOFEST & TÜBİTAK Yarışmacıları için Türkçe Yapay Zeka Danışmanı
|
||||
|
||||
[](https://huggingface.co/Qwen/Qwen3-14B-Instruct)
|
||||
[](https://huggingface.co/models?language=tr)
|
||||
[](https://opensource.org/licenses/Apache-2.0)
|
||||
[](https://github.com/unslothai/unsloth)
|
||||
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
## 📌 Nedir?
|
||||
|
||||
**ProjeDanışmanAI v2**, Qwen3-14B modeli üzerine 3.043 Türkçe örnek ile fine-tune edilmiş bir danışman modelidir. TEKNOFEST ve TÜBİTAK yarışmacılarına proje süreçlerinin her aşamasında rehberlik eder.
|
||||
|
||||
> ⚡ v2, v1'e (Mistral-Nemo-12B) kıyasla daha güçlü bir base model kullanıyor.
|
||||
> Qwen3-14B, Qwen2.5-32B eşdeğeri performans gösterirken 14B VRAM'de çalışır.
|
||||
|
||||
---
|
||||
|
||||
## ✅ Ne Yapabilir?
|
||||
|
||||
| Kategori | Açıklama |
|
||||
|---|---|
|
||||
| 📄 **Rapor Yazımı** | KTR / PTR teknik rapor bölümlerini yazar, örnekler sunar |
|
||||
| 💡 **Proje Geliştirme** | Sıfırdan proje fikri oluşturur, yol haritası çıkarır |
|
||||
| 🔍 **Özet & Analiz** | Proje dökümanlarını özetler, güçlü/zayıf yönleri analiz eder |
|
||||
| 🧠 **Strateji** | Jüri odaklı sunum stratejisi, özgünlük bölümü güçlendirme |
|
||||
| 🛠️ **Hata Düzeltme** | Mevcut rapor bölümlerindeki eksikleri tespit eder |
|
||||
| 🚫 **Alan Dışı Red** | TEKNOFEST/TÜBİTAK dışı sorulara kibarca yanıt vermez |
|
||||
|
||||
---
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||||
|
||||
## 🏋️ Eğitim Detayları
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||||
|
||||
| Parametre | Değer |
|
||||
|---|---|
|
||||
| Base Model | `Qwen/Qwen3-14B-Instruct` |
|
||||
| Yöntem | QLoRA 4-bit + Unsloth |
|
||||
| LoRA Rank | 16 |
|
||||
| LoRA Alpha | 32 |
|
||||
| rsLoRA | ✅ |
|
||||
| Epoch | 2 |
|
||||
| Learning Rate | 1e-4 |
|
||||
| Efektif Batch | 8 (2 × 4 grad. accum.) |
|
||||
| Max Seq Length | 3072 |
|
||||
| Warmup Ratio | %10 |
|
||||
| LR Scheduler | Cosine |
|
||||
| Thinking Mode | Kapalı (`/no_think`) |
|
||||
| En İyi Val Loss | 0.5519 (adım 400) |
|
||||
|
||||
---
|
||||
|
||||
## 📊 Veri Seti
|
||||
|
||||
3.043 Türkçe instruction-output çifti:
|
||||
|
||||
| Kategori | Örnek |
|
||||
|---|---|
|
||||
| Rapor Yazımı | 761 |
|
||||
| Sıfırdan Proje | 730 |
|
||||
| Genel Özet | 593 |
|
||||
| Strateji | 505 |
|
||||
| Hata Düzeltme | 324 |
|
||||
| Alan Dışı Red | 130 |
|
||||
| **Toplam** | **3.043** |
|
||||
|
||||
---
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||||
|
||||
## 🚀 Kullanım
|
||||
|
||||
### Ollama ile (GGUF Q4_K_M)
|
||||
|
||||
```bash
|
||||
ollama run hf.co/Rudblest/projedanismanai-v2-qwen3-14b:Q4_K_M
|
||||
```
|
||||
|
||||
### Python — Unsloth ile
|
||||
|
||||
```python
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||||
import re
|
||||
from unsloth import FastLanguageModel
|
||||
|
||||
model, tokenizer = FastLanguageModel.from_pretrained(
|
||||
model_name = "Rudblest/projedanismanai-v2-qwen3-14b",
|
||||
max_seq_length = 3072,
|
||||
dtype = None,
|
||||
load_in_4bit = True,
|
||||
)
|
||||
FastLanguageModel.for_inference(model)
|
||||
|
||||
SYSTEM_PROMPT = (
|
||||
"/no_think\n"
|
||||
"Sen ProjeDanışmanAI'sın. TEKNOFEST ve TÜBİTAK yarışmacılarına Türkçe olarak "
|
||||
"rehberlik eden bir yapay zeka danışmanısın."
|
||||
)
|
||||
|
||||
def chat(soru, max_new_tokens=512):
|
||||
messages = [
|
||||
{"role": "system", "content": SYSTEM_PROMPT},
|
||||
{"role": "user", "content": soru},
|
||||
]
|
||||
prompt = tokenizer.apply_chat_template(
|
||||
messages, tokenize=False, add_generation_prompt=True
|
||||
)
|
||||
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
|
||||
outputs = model.generate(
|
||||
**inputs,
|
||||
max_new_tokens=max_new_tokens,
|
||||
temperature=0.7,
|
||||
top_p=0.9,
|
||||
repetition_penalty=1.1,
|
||||
do_sample=True,
|
||||
)
|
||||
response = tokenizer.decode(
|
||||
outputs[0][inputs["input_ids"].shape[1]:],
|
||||
skip_special_tokens=True
|
||||
)
|
||||
# <think> taglarını temizle
|
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return re.sub(r"<think>.*?</think>", "", response, flags=re.DOTALL).strip()
|
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|
||||
print(chat("TEKNOFEST KTR raporunda risk analizi nasıl yazılır?"))
|
||||
```
|
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|
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### llama-cpp-python ile
|
||||
|
||||
```python
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from llama_cpp import Llama
|
||||
|
||||
llm = Llama.from_pretrained(
|
||||
repo_id = "Rudblest/projedanismanai-v2-qwen3-14b",
|
||||
filename = "*Q4_K_M.gguf",
|
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n_gpu_layers = -1,
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n_ctx = 3072,
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)
|
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|
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response = llm.create_chat_completion(messages=[
|
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{"role": "system", "content": "/no_think\nSen ProjeDanışmanAI'sın..."},
|
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{"role": "user", "content": "TÜBİTAK 2209-A başvurusu nasıl hazırlanır?"},
|
||||
])
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print(response["choices"][0]["message"]["content"])
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```
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---
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## ⚠️ Önemli Not — `/no_think`
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Qwen3 varsayılan olarak `<think>...</think>` bloklarıyla düşünce zinciri üretir.
|
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Bu model **thinking mode kapalı** olarak eğitilmiştir. Her kullanımda system prompt'un başına `/no_think` ekleyin, aksi hâlde boş `<think></think>` tagları yanıta karışabilir.
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|
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---
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|
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## 🔄 v1 → v2 Karşılaştırması
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|
||||
| | v1 | v2 |
|
||||
|---|---|---|
|
||||
| Base Model | Mistral-Nemo-12B | **Qwen3-14B** |
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| Türkçe Kalite | Orta | **Yüksek** |
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| LoRA Rank | 64 | **16** (az veri için optimal) |
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| Epoch | 5 | **2** (overfitting önlendi) |
|
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| Thinking Mode | Yok | **Kapalı (`/no_think`)** |
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| Val Loss (en iyi) | — | **0.5519** |
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---
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|
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## 🚫 Sınırlamalar
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- Yalnızca Türkçe yanıt üretir
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- TEKNOFEST / TÜBİTAK dışı konularda yardım etmez
|
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- Şartname detayları için RAG sistemi önerilir (model şartnameleri ezberlemiş değildir)
|
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- Üretilen içerik danışman niteliğindedir, resmi başvuru öncesi kontrol edilmelidir
|
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|
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---
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|
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## 👥 Ekip
|
||||
|
||||
**ProjeDanışmanAI** — Fırat Üniversitesi öğrencileri tarafından geliştirilmektedir.
|
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|
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---
|
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|
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## 📄 Lisans
|
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|
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Apache 2.0 — Qwen3 temel modeli lisansına uygun.
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97
chat_template.jinja
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97
chat_template.jinja
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@@ -0,0 +1,97 @@
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{%- if tools %}
|
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{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0].role == 'system' %}
|
||||
{{- messages[0].content + '\n\n' }}
|
||||
{%- endif %}
|
||||
{{- "# 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' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
||||
{%- for forward_message in messages %}
|
||||
{%- set index = (messages|length - 1) - loop.index0 %}
|
||||
{%- set message = messages[index] %}
|
||||
{%- set tool_start = '<tool_response>' %}
|
||||
{%- set tool_start_length = tool_start|length %}
|
||||
{%- set start_of_message = message.content[:tool_start_length] %}
|
||||
{%- set tool_end = '</tool_response>' %}
|
||||
{%- set tool_end_length = tool_end|length %}
|
||||
{%- set start_pos = (message.content|length) - tool_end_length %}
|
||||
{%- if start_pos < 0 %}
|
||||
{%- set start_pos = 0 %}
|
||||
{%- endif %}
|
||||
{%- set end_of_message = message.content[start_pos:] %}
|
||||
{%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
|
||||
{%- set ns.multi_step_tool = false %}
|
||||
{%- set ns.last_query_index = index %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- for message in messages %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{%- set content = message.content %}
|
||||
{%- set reasoning_content = '' %}
|
||||
{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
|
||||
{%- set reasoning_content = message.reasoning_content %}
|
||||
{%- else %}
|
||||
{%- if '</think>' in message.content %}
|
||||
{%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
|
||||
{%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
|
||||
{%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if loop.index0 > ns.last_query_index %}
|
||||
{%- if loop.last or (not loop.last and reasoning_content) %}
|
||||
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- if message.tool_calls %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if (loop.first and content) or (not loop.first) %}
|
||||
{{- '\n' }}
|
||||
{%- endif %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
|
||||
{%- else %}
|
||||
{{- tool_call.arguments | tojson }}
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||||
{%- endif %}
|
||||
{{- '}\n</tool_call>' }}
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||||
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||||
{%- endif %}
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||||
{{- '<|im_end|>\n' }}
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76
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"content": "</tool_response>",
|
||||
"single_word": false,
|
||||
"lstrip": false,
|
||||
"rstrip": false,
|
||||
"normalized": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"single_word": false,
|
||||
"lstrip": false,
|
||||
"rstrip": false,
|
||||
"normalized": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"single_word": false,
|
||||
"lstrip": false,
|
||||
"rstrip": false,
|
||||
"normalized": false,
|
||||
"special": false
|
||||
},
|
||||
"151669": {
|
||||
"content": "<|PAD_TOKEN|>",
|
||||
"single_word": false,
|
||||
"lstrip": false,
|
||||
"rstrip": false,
|
||||
"normalized": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for forward_message in messages %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- set message = messages[index] %}\n {%- set tool_start = '<tool_response>' %}\n {%- set tool_start_length = tool_start|length %}\n {%- set start_of_message = message.content[:tool_start_length] %}\n {%- set tool_end = '</tool_response>' %}\n {%- set tool_end_length = tool_end|length %}\n {%- set start_pos = (message.content|length) - tool_end_length %}\n {%- if start_pos < 0 %}\n {%- set start_pos = 0 %}\n {%- endif %}\n {%- set end_of_message = message.content[start_pos:] %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(start_of_message == tool_start and end_of_message == tool_end) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = (message.content.split('</think>')|last).lstrip('\\n') %}\n {%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\\n') %}\n {%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}"
|
||||
}
|
||||
Reference in New Issue
Block a user