algoscienceacademy

Harness

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README

License: apache-2.0

Harness-1B

Developed by Algo Science Lab

Author: Shahrear Hossain

Hugging Face: https://huggingface.co/algoscienceacademy

Harness-1B

Harness-1B is a lightweight large language model developed by Algo Science Lab for instruction following, coding assistance, reasoning, mathematics, electronics, semiconductor engineering, VLSI design, and general conversational AI.

The model contains approximately 1 billion parameters, making it suitable for local deployment while providing strong performance for everyday AI tasks.

Harness-1B has been fine-tuned to provide accurate, helpful, and concise responses across a wide variety of technical and general domains.

Features

General conversation
Code generation
Python programming
C programming
C++ programming
Rust programming
Java programming
JavaScript
TypeScript
Verilog HDL
SystemVerilog
VHDL
RTL Design
FPGA Development
ASIC Design
CMOS Digital Design
Semiconductor Engineering
VLSI Design
Mathematics
Electronics
Physics
Problem Solving
Technical Documentation
AI Research Assistance

Model Details

Table with columns: Property, Value
Property	Value
Model Name	Harness-1B
Organization	Algo Science Lab
Hugging Face Username	algoscienceacademy
Parameters	~1 Billion
Architecture	Llama-based
Model Type	Causal Language Model
Context Length	2048 Tokens (or your trained context size)
Precision	FP16 / BF16 / GGUF
Framework

Intended Uses

Harness-1B is designed for:

AI Chatbots
Programming Assistant
Educational Applications
Research
Embedded AI
Local AI Deployment
Engineering Assistance
Electronics Design
FPGA Development
ASIC/VLSI Workflow
RTL Development
Automation
Documentation

Example

python
from transformers import pipeline

pipe = pipeline(
    "text-generation",
    model="algoscienceacademy/Harness-1B",
    device_map="auto"
)

messages = [
    {
        "role": "system",
        "content": "You are Harness, an AI assistant created by Algo Science Lab."
    },
    {
        "role": "user",
        "content": "Write a Python program to print Fibonacci numbers."
    }
]

prompt = pipe.tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)

output = pipe(
    prompt,
    max_new_tokens=256,
    temperature=0.7,
)

print(output[0]["generated_text"])

GGUF Usage

Harness-1B is also available in GGUF format for:

llama.cpp
LM Studio
Jan
Open WebUI
KoboldCpp
Ollama (after conversion)

Example:

bash
./main \
-m Harness-1B-Q4_K_M.gguf \
-p "Explain CMOS Inverter."

Training

Harness-1B is trained and fine-tuned using open-source datasets and instruction-following techniques.

Possible data sources include:

SlimPajama
StarCoderData
UltraChat
UltraFeedback

Additional custom datasets may have been used during supervised fine-tuning.

Capabilities

Harness-1B can:

Answer questions
Explain concepts
Generate code
Debug code
Write documentation
Solve mathematics
Explain algorithms
Assist with VLSI
Help with FPGA design
Generate Verilog
Generate SystemVerilog
Produce technical reports

Limitations

Harness-1B may:

Produce incorrect information.
Generate outdated knowledge.
Make reasoning mistakes.
Require verification for safety-critical applications.
Require human review for production environments.

Hardware Requirements

Recommended:

8 GB RAM (Q4 GGUF)
12 GB RAM (Q6 GGUF)
16 GB RAM (FP16)
CUDA GPU recommended but optional

Citation

bibtex
@misc{Harness1B,
    title={Harness-1B},
    author={Algo Science Lab},
    year={2026},
    publisher={Hugging Face},
    howpublished={https://huggingface.co/algoscienceacademy/Harness-1B}
}

License

Apache License 2.0

Acknowledgements

Harness-1B builds upon open-source language model research and would not be possible without the work of the open-source AI community, including:

Meta AI (Llama Architecture)
TinyLlama Project
Hugging Face
PyTorch
Transformers
llama.cpp

Contact

Organization: Algo Science Lab

Hugging Face: https://huggingface.co/algoscienceacademy

Made with ❤️ by Algo Science Lab.

Available on FriendliAI

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Model Details

Model Provider

algoscienceacademy

Model Tree

Base

TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T

Quantized

this model

Input Modalities

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Output Modalities

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Supported Functionality

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README

License: apache-2.0

Harness-1B

Developed by Algo Science Lab

Author: Shahrear Hossain

Hugging Face: https://huggingface.co/algoscienceacademy

Harness-1B

The model contains approximately 1 billion parameters, making it suitable for local deployment while providing strong performance for everyday AI tasks.

Harness-1B has been fine-tuned to provide accurate, helpful, and concise responses across a wide variety of technical and general domains.

Features

General conversation
Code generation
Python programming
C programming
C++ programming
Rust programming
Java programming
JavaScript
TypeScript
Verilog HDL
SystemVerilog
VHDL
RTL Design
FPGA Development
ASIC Design
CMOS Digital Design
Semiconductor Engineering
VLSI Design
Mathematics
Electronics
Physics
Problem Solving
Technical Documentation
AI Research Assistance

Model Details

Table with columns: Property, Value
Property	Value
Model Name	Harness-1B
Organization	Algo Science Lab
Hugging Face Username	algoscienceacademy
Parameters	~1 Billion
Architecture	Llama-based
Model Type	Causal Language Model
Context Length	2048 Tokens (or your trained context size)
Precision	FP16 / BF16 / GGUF
Framework

Intended Uses

Harness-1B is designed for:

AI Chatbots
Programming Assistant
Educational Applications
Research
Embedded AI
Local AI Deployment
Engineering Assistance
Electronics Design
FPGA Development
ASIC/VLSI Workflow
RTL Development
Automation
Documentation

Example

python
from transformers import pipeline

pipe = pipeline(
    "text-generation",
    model="algoscienceacademy/Harness-1B",
    device_map="auto"
)

messages = [
    {
        "role": "system",
        "content": "You are Harness, an AI assistant created by Algo Science Lab."
    },
    {
        "role": "user",
        "content": "Write a Python program to print Fibonacci numbers."
    }
]

prompt = pipe.tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)

output = pipe(
    prompt,
    max_new_tokens=256,
    temperature=0.7,
)

print(output[0]["generated_text"])

GGUF Usage

Harness-1B is also available in GGUF format for:

llama.cpp
LM Studio
Jan
Open WebUI
KoboldCpp
Ollama (after conversion)

Example:

bash
./main \
-m Harness-1B-Q4_K_M.gguf \
-p "Explain CMOS Inverter."

Training

Harness-1B is trained and fine-tuned using open-source datasets and instruction-following techniques.

Possible data sources include:

SlimPajama
StarCoderData
UltraChat
UltraFeedback

Additional custom datasets may have been used during supervised fine-tuning.

Capabilities

Harness-1B can:

Answer questions
Explain concepts
Generate code
Debug code
Write documentation
Solve mathematics
Explain algorithms
Assist with VLSI
Help with FPGA design
Generate Verilog
Generate SystemVerilog
Produce technical reports

Limitations

Harness-1B may:

Produce incorrect information.
Generate outdated knowledge.
Make reasoning mistakes.
Require verification for safety-critical applications.
Require human review for production environments.

Hardware Requirements

Recommended:

8 GB RAM (Q4 GGUF)
12 GB RAM (Q6 GGUF)
16 GB RAM (FP16)
CUDA GPU recommended but optional

Citation

bibtex
@misc{Harness1B,
    title={Harness-1B},
    author={Algo Science Lab},
    year={2026},
    publisher={Hugging Face},
    howpublished={https://huggingface.co/algoscienceacademy/Harness-1B}
}

License

Apache License 2.0

Acknowledgements

Harness-1B builds upon open-source language model research and would not be possible without the work of the open-source AI community, including:

Meta AI (Llama Architecture)
TinyLlama Project
Hugging Face
PyTorch
Transformers
llama.cpp

Contact

Organization: Algo Science Lab

Hugging Face: https://huggingface.co/algoscienceacademy

Made with ❤️ by Algo Science Lab.