---

license: apache-2.0

base_model: Ilides/coser-1.1-code

tags:

- coser-1.3-coder

- ilides

- coding-assistant

- agentic

- qwen3.5

- lora

language:

- en

- es

pipeline_tag: text-generation

---

Coser 1.3-coder by ilides (GGUF)

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, fine-tuned con 74 ejemplos curados (código, identidad, chat y correcciones de comportamiento).

Publicado por ilides.

Versiones

| Repositorio | Formato | Uso |

|-------------|---------|-----|

| Ilides/coser-1.3-coder | Safetensors | Transformers, fine-tuning |

| 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)

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_id = "Ilides/coser-1.3-coder"
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
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)
print(tokenizer.decode(out[0], skip_special_tokens=True))

GGUF (llama.cpp)

llama-cli -m coser-1.3-coder-q8_0.gguf -cnv -ngl 99

Créditos

• Base: Ilides/coser-1.1-code
• Autor: ilides