---
library_name: peft
license: other
base_model: Qwen/Qwen3.5-4B-Thinking
tags:
- base_model:adapter:/root/autodl-tmp/Qwen3.5-4B-Thinking
- llama-factory
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: aiAIL_coding_V1
  results: []
---

---
base_model: Qwen/Qwen3.5-4B
library_name: transformers
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- qwen3.5
- coding
- reasoning
- lora
- sft
- agentic
- python
- javascript
- sql
base_model_relation: finetune
---

# THE MUCH IMPROVED V2 IS NOW RELEASE @ wefamm/aiAI_coder_V2_4B

# aiAI_coder_V1.4B


**4B parameters • Fine-tuned for coding & agentic tasks • <1 hour training**

[🤗 Model](https://huggingface.co/aiAI_coder_V1.4B) | [📊 Evaluation](#evaluation)

## Model Overview

`aiAI_coder_V1.4B` is a specialized coding and agentic assistant fine-tuned from Qwen/Qwen3.5-4B. It is designed to excel in:

- **Multi-language Code Generation**: Python, JavaScript, TypeScript, and SQL
- **Reasoning & Problem-Solving**: Step-by-step thinking with `<think>` tag support
- **Agentic Workflows**: Tool calling, multi-turn interactions, and task completion
- **Instruction Adherence**: Following complex, constrained prompts with high accuracy
- **Cost Efficiency**: Optimized for low-latency inference on consumer hardware

This model was distilled from high-quality Grok 4.6 completions and trained with a highly efficient Supervised Fine-Tuning (SFT) recipe, achieving strong coding benchmark performance at a fraction of the cost of larger models [citation:1][citation:7].

## Model Details

### Model Description

`aiAI_coder_V1.4B` is an instruction-tuned language model optimized for code synthesis, debugging, and agentic assistance. It supports:

- Fast, deterministic responses for coding tasks
- Accurate code generation in Python, JavaScript, TypeScript, and SQL
- Multi-turn reasoning with explicit thinking separation (`<think>...</think>`)
- Native support for tool calling and structured outputs

The model can be used as a lightweight, cost-effective alternative to frontier models in many developer workflows.

- **Developed by:** [aiAI]
- **Funded by:** [nitrous-0xide (owner & founder)]
- **Model type:** Text-generation / Instruction-following
- **Language(s):** English
- **License:** Apache-2.0
- **Finetuned from:** Qwen/Qwen3.5-4B [citation:1][citation:10]

Uses

### Direct Use

The model can be used as-is for:

- Interactive coding assistants and chatbots
- Code completion and debugging in IDEs
- Generating unit tests and documentation
- SQL query generation and optimization
- Agentic workflows requiring planning and tool use [citation:1]

### Out-of-Scope Use

- Generating malicious code or content that violates applicable laws
- Real-time decision-making in safety-critical systems
- Any use that violates the Apache-2.0 license

## Bias, Risks, and Limitations

- **Hallucination**: May occasionally produce plausible but incorrect code or explanations
- **Security**: Generated code should be reviewed for security vulnerabilities
- **Context Window**: While optimized for 262K context, performance may degrade at extreme lengths [citation:7]
- **Language Coverage**: Primarily trained on English data; performance on other languages is limited

### Recommendations

- Human-in-the-loop review of generated code before deployment
- Use explicit safety filters for disallowed content
- Test outputs in sandboxed environments when executing generated code