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language: en
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license: apache-2.0
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tags:
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- code
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- coding-agent
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- instruction-tuned
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- hermit-code
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pipeline_tag: text-generation
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base_model:
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- Qwen/Qwen2.5-Coder-7B-Instruct
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---
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## Model Details
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| Property | Value |
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|---|---|
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| **Base Model** | [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) |
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| **Architecture** | Qwen2.5
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| **Parameters** | 7.
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| **
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| **License** | Apache 2.0 |
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| **Format** | Safetensors |
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##
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- Code explanation and documentation
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- Bug fixing and debugging
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- Refactoring and optimization
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- Multi-file project understanding
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###
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```python
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from huggingface_hub import InferenceClient
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client = InferenceClient(token="hf_YOUR_TOKEN")
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response = client.text_generation(
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model="Soloman2002/hermit-code-7b",
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prompt="
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max_new_tokens=512,
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temperature=0.2
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)
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## Acknowledgments
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-
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Hermit AI Agent
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language: en
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license: apache-2.0
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tags:
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- code
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- coding-agent
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- instruction-tuned
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- hermit-code
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pipeline_tag: text-generation
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---
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<p align="center">
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<img src="https://img.shields.io/badge/Parameters-7.6B-blue?style=flat-square" alt="Parameters"/>
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<img src="https://img.shields.io/badge/Context-128K-green?style=flat-square" alt="Context"/>
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<img src="https://img.shields.io/badge/License-Apache%202.0-yellow?style=flat-square" alt="License"/>
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<img src="https://img.shields.io/badge/Format-Safetensors-orange?style=flat-square" alt="Format"/>
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<img src="https://img.shields.io/badge/Python-3.10%2B-blue?style=flat-square" alt="Python"/>
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</p>
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<h1 align="center">Hermit Code 7B</h1>
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<p align="center"><em>The official coding model for the Hermit AI Agent</em></p>
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<p align="center">
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<a href="#-quick-start">Quick Start</a> •
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<a href="#-capabilities">Capabilities</a> •
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<a href="#-model-details">Model Details</a> •
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<a href="#-usage">Usage</a> •
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<a href="#-examples">Examples</a> •
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<a href="#-acknowledgments">Acknowledgments</a>
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</p>
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---
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## Quick Start
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```python
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from transformers import pipeline
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pipe = pipeline("text-generation", model="Soloman2002/hermit-code-7b")
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chat = [
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{"role": "user", "content": "Write a Python function to reverse a linked list"}
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]
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pipe(chat, max_new_tokens=512)
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```
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## Capabilities
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| Category | Languages / Skills |
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|---|---|
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| **Languages** | Python, JavaScript/TypeScript, Go, Rust, C++, Java |
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| **Code Gen** | Functions, classes, scripts, full projects |
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| **Explain** | Code breakdowns, documentation generation |
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| **Debug** | Bug finding, fixing, optimization |
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| **Refactor** | Performance tuning, code cleanup |
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| **Context** | Multi-file project understanding (128K tokens) |
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## Model Details
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| Property | Value |
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|---|---|
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| **Base Model** | [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) |
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| **Architecture** | Qwen2.5 Dense Transformer |
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| **Parameters** | 7.61B (6.53B non-embedding) |
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| **Layers** | 28 |
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| **Attention** | GQA (28 Q heads, 4 KV heads) |
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| **Context Length** | 131,072 tokens |
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| **License** | Apache 2.0 |
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| **Format** | Safetensors (BF16) |
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## Usage
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### Transformers
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained(
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"Soloman2002/hermit-code-7b",
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torch_dtype="auto",
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device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained("Soloman2002/hermit-code-7b")
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messages = [
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{"role": "system", "content": "You are Hermit Code, a coding assistant."},
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{"role": "user", "content": "Write a Rust function that checks if a string is a palindrome."}
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]
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text = tokenizer.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True
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)
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inputs = tokenizer([text], return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=512)
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response = tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True)
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print(response)
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```
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### vLLM (Recommended for Production)
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```bash
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pip install vllm
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vllm serve "Soloman2002/hermit-code-7b"
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```
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```bash
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curl -X POST "http://localhost:8000/v1/chat/completions" \
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-H "Content-Type: application/json" \
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-d '{
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"model": "Soloman2002/hermit-code-7b",
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"messages": [
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{"role": "user", "content": "Explain closures in JavaScript"}
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]
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}'
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```
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### Inference API
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```python
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from huggingface_hub import InferenceClient
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client = InferenceClient(token="hf_YOUR_TOKEN")
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response = client.text_generation(
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model="Soloman2002/hermit-code-7b",
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prompt="<|im_start|>user\nWrite a Go function to merge two sorted arrays<|im_end|>\n<|im_start|>assistant\n",
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max_new_tokens=512,
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temperature=0.2
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```
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## Examples
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<details>
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<summary><b>Python</b> — Quick Sort</summary>
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```python
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def quick_sort(arr):
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if len(arr) <= 1:
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return arr
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pivot = arr[len(arr) // 2]
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left = [x for x in arr if x < pivot]
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middle = [x for x in arr if x == pivot]
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right = [x for x in arr if x > pivot]
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return quick_sort(left) + middle + quick_sort(right)
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```
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</details>
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<details>
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<summary><b>Rust</b> — Palindrome Check</summary>
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```rust
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fn is_palindrome(s: &str) -> bool {
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let chars: Vec<char> = s.chars().filter(|c| c.is_alphanumeric()).collect();
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let len = chars.len();
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for i in 0..len / 2 {
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if chars[i].to_ascii_lowercase() != chars[len - 1 - i].to_ascii_lowercase() {
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return false;
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}
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}
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true
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}
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```
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</details>
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<details>
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<summary><b>Go</b> — Merge Sorted Arrays</summary>
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```go
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func mergeSorted(a, b []int) []int {
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result := make([]int, 0, len(a)+len(b))
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i, j := 0, 0
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for i < len(a) && j < len(b) {
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if a[i] < b[j] {
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result = append(result, a[i])
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i++
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} else {
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result = append(result, b[j])
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j++
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}
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}
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result = append(result, a[i:]...)
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result = append(result, b[j:]...)
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return result
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}
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```
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</details>
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## Benchmarks
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| Benchmark | Score |
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|---|---|
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| HumanEval (Python) | TBD |
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| HumanEval (Multi-Lang) | TBD |
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| MBPP | TBD |
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*Coming soon — based on Qwen2.5-Coder-7B-Instruct baseline.*
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## Acknowledgments
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- **Base Model** — [Qwen Team](https://huggingface.co/Qwen) for [Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct)
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- **Hermit AI Agent** — Built by the [Hermit Team](https://github.com/Soloman2002)
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---
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<p align="center">
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<sub>Built with ❤️ for the coding community</sub>
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</p>
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