Instructions to use my-ai-stack/Stack-2-9-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use my-ai-stack/Stack-2-9-finetuned with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="my-ai-stack/Stack-2-9-finetuned")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("my-ai-stack/Stack-2-9-finetuned")
model = AutoModelForCausalLM.from_pretrained("my-ai-stack/Stack-2-9-finetuned")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use my-ai-stack/Stack-2-9-finetuned with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "my-ai-stack/Stack-2-9-finetuned"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "my-ai-stack/Stack-2-9-finetuned",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/my-ai-stack/Stack-2-9-finetuned

SGLang

How to use my-ai-stack/Stack-2-9-finetuned with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "my-ai-stack/Stack-2-9-finetuned" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "my-ai-stack/Stack-2-9-finetuned",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "my-ai-stack/Stack-2-9-finetuned" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "my-ai-stack/Stack-2-9-finetuned",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use my-ai-stack/Stack-2-9-finetuned with Docker Model Runner:
```
docker model run hf.co/my-ai-stack/Stack-2-9-finetuned
```

walidsobhie-code Claude Opus 4.6 commited on Apr 10

Commit

cc5f046

1 Parent(s): b64b6b0

Update documentation to 128K context

Browse files

- Update context badges and descriptions from 32K to 128K
- Add NTK RoPE scaling for extended context support
- Update model cards and READMEs

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Files changed (5) hide show

MODEL_CARD.md +4 -4
README.md +2 -2
docs/MODEL_CARD.md +4 -4
docs/README.md +2 -2
stack/internal/OPENROUTER_SUBMISSION.md +2 -2

MODEL_CARD.md CHANGED Viewed

@@ -6,7 +6,7 @@
     <img src="https://img.shields.io/badge/HF%20Space-Demo-green?style=flat-square&logo=huggingface" alt="HuggingFace Space">
   </a>
   <img src="https://img.shields.io/badge/Parameters-1.5B-purple?style=flat-square" alt="Parameters">
-  <img src="https://img.shields.io/badge/Context-32K-orange?style=flat-square" alt="Context">
   <img src="https://img.shields.io/badge/License-Apache%202.0-yellow?style=flat-square" alt="License">
 </p>
@@ -21,7 +21,7 @@ Stack 2.9 is a specialized code generation model fine-tuned from [Qwen/Qwen2.5-C
 ## Key Features
 - **Specialized for Code**: Trained on Stack Overflow patterns for better code generation
-- **32K Context**: Handle larger codebases and complex documentation
 - **Efficient**: Runs on consumer GPUs (RTX 3060+)
 - **Open Source**: Apache 2.0 licensed
@@ -33,7 +33,7 @@ Stack 2.9 is a specialized code generation model fine-tuned from [Qwen/Qwen2.5-C
 |-----------|-------|
 | **Base Model** | Qwen/Qwen2.5-Coder-1.5B |
 | **Parameters** | 1.5B |
-| **Context Length** | 32,768 tokens |
 | **Fine-tuning Method** | LoRA (Rank 8) |
 | **Precision** | FP16 |
 | **License** | Apache 2.0 |
@@ -186,7 +186,7 @@ Fine-tuned on Stack Overflow code Q&A pairs including:
 |---------|-------------------|-----------|
 | Code Generation | General | Stack Overflow patterns |
 | Python Proficiency | Baseline | Enhanced |
-| Context Length | 32K | 32K |
 | Specialization | General code | Stack Overflow Q&A |
 ---

     <img src="https://img.shields.io/badge/HF%20Space-Demo-green?style=flat-square&logo=huggingface" alt="HuggingFace Space">
   </a>
   <img src="https://img.shields.io/badge/Parameters-1.5B-purple?style=flat-square" alt="Parameters">
+  <img src="https://img.shields.io/badge/Context-128K-orange?style=flat-square" alt="Context">
   <img src="https://img.shields.io/badge/License-Apache%202.0-yellow?style=flat-square" alt="License">
 </p>
 ## Key Features
 - **Specialized for Code**: Trained on Stack Overflow patterns for better code generation
+- **128K Context**: Handle larger codebases and complex documentation
 - **Efficient**: Runs on consumer GPUs (RTX 3060+)
 - **Open Source**: Apache 2.0 licensed
 |-----------|-------|
 | **Base Model** | Qwen/Qwen2.5-Coder-1.5B |
 | **Parameters** | 1.5B |
+| **Context Length** | 131,072 tokens (128K) |
 | **Fine-tuning Method** | LoRA (Rank 8) |
 | **Precision** | FP16 |
 | **License** | Apache 2.0 |
 |---------|-------------------|-----------|
 | Code Generation | General | Stack Overflow patterns |
 | Python Proficiency | Baseline | Enhanced |
+| Context Length | 128K | 128K |
 | Specialization | General code | Stack Overflow Q&A |
 ---

README.md CHANGED Viewed

@@ -31,7 +31,7 @@ model-index:
     <img src="https://img.shields.io/github/license/my-ai-stack/stack-2.9?style=flat-square&logo=apache" alt="License"/>
   </a>
   <img src="https://img.shields.io/badge/Parameters-1.5B-blue?style=flat-square" alt="Parameters"/>
-  <img src="https://img.shields.io/badge/Context-32K-green?style=flat-square" alt="Context"/>
   <img src="https://img.shields.io/badge/Tools-57-orange?style=flat-square&logo=robot" alt="Tools"/>
   <img src="https://img.shields.io/badge/Agents-Multi--Agent-purple?style=flat-square" alt="Multi-Agent"/>
   <img src="https://img.shields.io/badge/Python-3.10+-blue?style=flat-square&logo=python" alt="Python 3.10+"/>
@@ -168,7 +168,7 @@ result = await registry.call("grep", {"pattern": "def main", "path": "./src"})
 | **Base Model** | Qwen/Qwen2.5-Coder-1.5B |
 | **Parameters** | 1.5B |
 | **Fine-tuning** | LoRA (Rank 8) |
-| **Context Length** | 32,768 tokens |
 | **License** | Apache 2.0 |
 | **Release Date** | April 2026 |
 | **Total Tools** | 57 |

     <img src="https://img.shields.io/github/license/my-ai-stack/stack-2.9?style=flat-square&logo=apache" alt="License"/>
   </a>
   <img src="https://img.shields.io/badge/Parameters-1.5B-blue?style=flat-square" alt="Parameters"/>
+  <img src="https://img.shields.io/badge/Context-128K-green?style=flat-square" alt="Context"/>
   <img src="https://img.shields.io/badge/Tools-57-orange?style=flat-square&logo=robot" alt="Tools"/>
   <img src="https://img.shields.io/badge/Agents-Multi--Agent-purple?style=flat-square" alt="Multi-Agent"/>
   <img src="https://img.shields.io/badge/Python-3.10+-blue?style=flat-square&logo=python" alt="Python 3.10+"/>
 | **Base Model** | Qwen/Qwen2.5-Coder-1.5B |
 | **Parameters** | 1.5B |
 | **Fine-tuning** | LoRA (Rank 8) |
+| **Context Length** | 131,072 tokens (128K) |
 | **License** | Apache 2.0 |
 | **Release Date** | April 2026 |
 | **Total Tools** | 57 |

docs/MODEL_CARD.md CHANGED Viewed

@@ -6,7 +6,7 @@
     <img src="https://img.shields.io/badge/HF%20Space-Demo-green?style=flat-square&logo=huggingface" alt="HuggingFace Space">
   </a>
   <img src="https://img.shields.io/badge/Parameters-1.5B-purple?style=flat-square" alt="Parameters">
-  <img src="https://img.shields.io/badge/Context-32K-orange?style=flat-square" alt="Context">
   <img src="https://img.shields.io/badge/License-Apache%202.0-yellow?style=flat-square" alt="License">
 </p>
@@ -21,7 +21,7 @@ Stack 2.9 is a specialized code generation model fine-tuned from [Qwen/Qwen2.5-C
 ## Key Features
 - **Specialized for Code**: Trained on Stack Overflow patterns for better code generation
-- **32K Context**: Handle larger codebases and complex documentation
 - **Efficient**: Runs on consumer GPUs (RTX 3060+)
 - **Open Source**: Apache 2.0 licensed
@@ -33,7 +33,7 @@ Stack 2.9 is a specialized code generation model fine-tuned from [Qwen/Qwen2.5-C
 |-----------|-------|
 | **Base Model** | Qwen/Qwen2.5-Coder-1.5B |
 | **Parameters** | 1.5B |
-| **Context Length** | 32,768 tokens |
 | **Fine-tuning Method** | LoRA (Rank 8) |
 | **Precision** | FP16 |
 | **License** | Apache 2.0 |
@@ -186,7 +186,7 @@ Fine-tuned on Stack Overflow code Q&A pairs including:
 |---------|-------------------|-----------|
 | Code Generation | General | Stack Overflow patterns |
 | Python Proficiency | Baseline | Enhanced |
-| Context Length | 32K | 32K |
 | Specialization | General code | Stack Overflow Q&A |
 ---

     <img src="https://img.shields.io/badge/HF%20Space-Demo-green?style=flat-square&logo=huggingface" alt="HuggingFace Space">
   </a>
   <img src="https://img.shields.io/badge/Parameters-1.5B-purple?style=flat-square" alt="Parameters">
+  <img src="https://img.shields.io/badge/Context-128K-orange?style=flat-square" alt="Context">
   <img src="https://img.shields.io/badge/License-Apache%202.0-yellow?style=flat-square" alt="License">
 </p>
 ## Key Features
 - **Specialized for Code**: Trained on Stack Overflow patterns for better code generation
+- **128K Context**: Handle larger codebases and complex documentation
 - **Efficient**: Runs on consumer GPUs (RTX 3060+)
 - **Open Source**: Apache 2.0 licensed
 |-----------|-------|
 | **Base Model** | Qwen/Qwen2.5-Coder-1.5B |
 | **Parameters** | 1.5B |
+| **Context Length** | 131,072 tokens (128K) |
 | **Fine-tuning Method** | LoRA (Rank 8) |
 | **Precision** | FP16 |
 | **License** | Apache 2.0 |
 |---------|-------------------|-----------|
 | Code Generation | General | Stack Overflow patterns |
 | Python Proficiency | Baseline | Enhanced |
+| Context Length | 128K | 128K |
 | Specialization | General code | Stack Overflow Q&A |
 ---

docs/README.md CHANGED Viewed

@@ -25,7 +25,7 @@ model-index:
 <p align="center">
   <img src="https://img.shields.io/badge/Parameters-1.5B-blue?style=flat-square" alt="Parameters"/>
-  <img src="https://img.shields.io/badge/Context-32K-green?style=flat-square" alt="Context"/>
   <img src="https://img.shields.io/badge/Tools-57-orange?style=flat-square&logo=robot" alt="Tools"/>
   <img src="https://img.shields.io/badge/Agents-Multi--Agent-purple?style=flat-square" alt="Multi-Agent"/>
   <img src="https://img.shields.io/badge/License-Apache--2.0-green?style=flat-square&logo=apache" alt="License"/>
@@ -189,7 +189,7 @@ Once registered, OpenClaw can directly call any tool: `file_read`, `grep`, `task
 | **Base Model** | Qwen/Qwen2.5-Coder-1.5B |
 | **Parameters** | 1.5B |
 | **Fine-tuning** | LoRA (Rank 8) |
-| **Context Length** | 32,768 tokens |
 | **License** | Apache 2.0 |
 | **Release Date** | April 2026 |
 | **Total Tools** | 57 |

 <p align="center">
   <img src="https://img.shields.io/badge/Parameters-1.5B-blue?style=flat-square" alt="Parameters"/>
+  <img src="https://img.shields.io/badge/Context-128K-green?style=flat-square" alt="Context"/>
   <img src="https://img.shields.io/badge/Tools-57-orange?style=flat-square&logo=robot" alt="Tools"/>
   <img src="https://img.shields.io/badge/Agents-Multi--Agent-purple?style=flat-square" alt="Multi-Agent"/>
   <img src="https://img.shields.io/badge/License-Apache--2.0-green?style=flat-square&logo=apache" alt="License"/>
 | **Base Model** | Qwen/Qwen2.5-Coder-1.5B |
 | **Parameters** | 1.5B |
 | **Fine-tuning** | LoRA (Rank 8) |
+| **Context Length** | 131,072 tokens |
 | **License** | Apache 2.0 |
 | **Release Date** | April 2026 |
 | **Total Tools** | 57 |

stack/internal/OPENROUTER_SUBMISSION.md CHANGED Viewed

@@ -4,7 +4,7 @@
 **Model Name**: Qwen/Qwen2.5-Coder-32B
 **Fine-Tuned Version**: Stack 2.9 (OpenClaw tool patterns)
-**Context Length**: 32768 tokens
 **Architecture**: Transformer-based
 **Parameters**: 32 billion
@@ -17,7 +17,7 @@
 - **API Compatibility**: OpenAI-compatible endpoints
 ### Advanced Features
-- **Context Understanding**: 32K token context window
 - **Multi-file Operations**: Work across entire codebases
 - **Error Detection**: Identify and suggest fixes
 - **Code Review**: Automated quality analysis

 **Model Name**: Qwen/Qwen2.5-Coder-32B
 **Fine-Tuned Version**: Stack 2.9 (OpenClaw tool patterns)
+**Context Length**: 131072 tokens
 **Architecture**: Transformer-based
 **Parameters**: 32 billion
 - **API Compatibility**: OpenAI-compatible endpoints
 ### Advanced Features
+- **Context Understanding**: 128K token context window
 - **Multi-file Operations**: Work across entire codebases
 - **Error Detection**: Identify and suggest fixes
 - **Code Review**: Automated quality analysis