Witherly-Flash-Mini

An AI model by Recede Industries, associated with Abaho Francis.

Witherly-Flash-Mini is a conversational AI model designed to assist with education, programming, writing, reasoning, and everyday problem-solving.

Model Information

• Model name: Witherly-Flash-Mini
• Organization: Recede Industries
• Associated with: Abaho Francis
• Model family: Qwen3 (confirm against the actual base model)
• Supported formats: Safetensors and GGUF
• Primary language: English
• Task: Text generation and conversational assistance

Usage

Safetensors

from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "YOUR_USERNAME/witherly-flash-mini"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

messages = [
    {"role": "user", "content": "What is Witherly-Flash-Mini?"}
]

inputs = tokenizer.apply_chat_template(
    messages,
    tokenize=True,
    add_generation_prompt=True,
    return_tensors="pt"
)

outputs = model.generate(inputs, max_new_tokens=150)

print(tokenizer.decode(
    outputs[0][inputs.shape[-1]:],
    skip_special_tokens=True
))

GGUF

llama-cli \
  -m ./witherly-flash-mini-Q4_K_M.gguf \
  -cnv \
  -n 256

Replace the repository ID and filename with your actual published locations.

Intended Capabilities

• Educational explanations and revision notes
• Programming assistance and debugging
• Writing and summarization
• General conversation
• Reasoning and problem-solving
• Technical troubleshooting

These are intended capabilities, not verified benchmark results.

Limitations

The model may generate inaccurate information, misunderstand instructions, or produce incorrect code. Its ability to read files depends on the surrounding application, and its knowledge may be outdated.

Training and Evaluation

Document the actual base model, fine-tuning method, dataset, training configuration, and evaluation results here after verification. Do not claim benchmarks or completed training that have not been tested.

License

Verify that Apache-2.0 applies to the model weights you distribute and is compatible with the base model's license and applicable dataset terms.

Credits

Developed under the name Witherly-Flash-Mini by Recede Industries, associated with Abaho Francis.