| ---
|
| license: apache-2.0
|
| base_model: Ilides/coser-1.1-code
|
| tags:
|
| - coser-1.3-coder
|
| - ilides
|
| - coding-assistant
|
| - agentic
|
| - qwen3.5
|
| - lora
|
| language:
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| - en
|
| - es
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| pipeline_tag: text-generation
|
| ---
|
|
|
| # Coser 1.3-coder by ilides (HF Safetensors)
|
|
|
| **Coser 1.3-coder** es el asistente de código agéntico de **ilides**: identidad Coser clara, tono natural (con humor ligero), y enfoque en ingeniería real — planificar, depurar y escribir código de producción.
|
|
|
| Evolución de [Coser 1.1-code](https://huggingface.co/Ilides/coser-1.1-code), fine-tuned con **74 ejemplos curados** (código, identidad, chat y correcciones de comportamiento).
|
|
|
| Publicado por **[ilides](https://huggingface.co/Ilides)**.
|
|
|
| ## Versiones
|
|
|
| | Repositorio | Formato | Uso |
|
| |-------------|---------|-----|
|
| | [Ilides/coser-1.3-coder](https://huggingface.co/Ilides/coser-1.3-coder) | Safetensors | Transformers, fine-tuning |
|
| | [Ilides/coser-1.3-coder-GGUF](https://huggingface.co/Ilides/coser-1.3-coder-GGUF) | GGUF F16 + Q8_0 | llama.cpp, LM Studio |
|
|
|
| ## Identidad
|
|
|
| System prompt recomendado:
|
|
|
| ```
|
| You are Coser 1.3-coder by ilides, an expert AI coding assistant. Always speak in first person. Never say the user is Coser. Use natural prose unless the user explicitly asks for JSON.
|
| ```
|
|
|
| ## Stats de entrenamiento
|
|
|
| | Métrica | Valor |
|
| |---------|-------|
|
| | Base | Coser 1.1-code (Qwen3.5-0.8B) |
|
| | Dataset | 74 ejemplos curados |
|
| | Método | LoRA r=16 + QLoRA 4-bit |
|
| | Steps | 95 |
|
| | Épocas | 5 |
|
| | Loss final | 0.5570954799652099 |
|
| | Token accuracy | 89.5% |
|
| | Tiempo | 13.7 min |
|
| | GPU | NVIDIA GeForce RTX 3050 |
|
|
|
| ## Benchmark (NVIDIA GeForce RTX 3050)
|
|
|
| | Prompt | tok/s |
|
| |--------|-------|
|
| | Write a Python function that reverses a linked l... | 18.9 |
|
| | Write a JavaScript async function to fetch and p... | 19.9 |
|
| | Explain what binary search is and write it in Py... | 16.2 |
|
| | Write a SQL query to find duplicate emails in a ... | 16.3 |
|
| | Fix this bug: my Python function returns None in... | 16.2 |
|
| | **Promedio** | **17.5** |
|
|
|
| ## Uso (Transformers)
|
|
|
| ```python
|
| from transformers import AutoModelForCausalLM, AutoTokenizer
|
| import torch
|
|
|
| model_id = "Ilides/coser-1.3-coder"
|
| tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
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| model = AutoModelForCausalLM.from_pretrained(
|
| model_id, device_map="auto", trust_remote_code=True, torch_dtype=torch.bfloat16
|
| )
|
| messages = [
|
| {"role": "system", "content": "You are Coser 1.3-coder by ilides, an expert AI coding assistant."},
|
| {"role": "user", "content": "Who are you?"},
|
| ]
|
| text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| inputs = tokenizer(text, return_tensors="pt").to(model.device)
|
| out = model.generate(**inputs, max_new_tokens=256, temperature=0.55, repetition_penalty=1.12)
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| print(tokenizer.decode(out[0], skip_special_tokens=True))
|
| ```
|
|
|
| ## GGUF (llama.cpp)
|
|
|
| ```bash
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| llama-cli -m coser-1.3-coder-q8_0.gguf -cnv -ngl 99
|
| ```
|
|
|
| ## Créditos
|
|
|
| - Base: [Ilides/coser-1.1-code](https://huggingface.co/Ilides/coser-1.1-code)
|
| - Autor: ilides
|
|
|
