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  ![Minsore logo](logo.png)
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- # Minsore β€” Small models. Serious intelligence.
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- **Minsore** is a company building **small, efficient coding models** that are easy to run **locally** β€” without massive GPUs or expensive infrastructure.
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- We focus on compact models tuned for real developer work: code generation, debugging, agents, and software tasks. Less memory. Cheaper inference. Deploy anywhere β€” from laptop to cloud API.
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- One family. Three scales:
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- `0.7B β†’ 1.7B β†’ 3B`
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- ## Why Minsore
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- Big models aren't the only way forward.
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- - **Less memory.** Run where large systems can't fit.
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- - **Cheaper inference.** Lower cost per task, by design.
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- - **Accessible hardware.** No exotic cluster required.
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- - **Local + API.** From laptop to production endpoint.
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- - **Developer-first.** Built around coding, debugging and software tasks.
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- > Intelligence doesn't have to be enormous. Useful intelligence should fit where people need it.
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- ## Wing family
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- A family of compact coding models built to scale with the task.
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- | Model | Size | Best for |
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- |---|---|---|
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- | **Wing Nano** `wing-nano` | ~0.7B | Fast, inexpensive coding assistance, lightweight agents, environments where every GB matters. Low memory, fast inference, ultra-low cost. |
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- | **Wing Junior** `wing-junior` | ~1.7B | Everyday coding model for deeper reasoning, debugging, code generation and tool use. Balance of capability and cost. |
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- | **Wing Senior** `wing-senior` | ~3B | Most capable Wing model. Advanced coding, complex reasoning, agentic workflows. Compact flagship pushing toward much larger systems quality. |
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- Capability grows with scale β€” no benchmark claims without measured results.
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- ### Choose your weight class
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- - **Wing Nano ~0.7B** β€” low cost
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- - **Wing Junior ~1.7B** β€” balance
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- - **Wing Senior ~3B** β€” maximum capability
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- More capability when you need it. Less hardware when you don't.
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- Start small. Scale only when the task demands it.
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- ## Local-first
 
 
 
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- All Wing models are designed to be **local-friendly**:
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- - Run on consumer hardware
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- - Quantizable for low-memory setups
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- - Ideal for Ollama / llama.cpp / Transformers / vLLM style workflows
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- - Prototype locally, deploy cheaply
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- ## API β€” Built for cheap inference
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- Use Wing through a simple **OpenAI-compatible API** β€” swap `base_url`, keep your client. No GPUs to manage.
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- Planned starting price for `wing-nano`:
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- - **$0.02 / 1M input tokens**
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- - **$0.09 / 1M output tokens**
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- Start on `wing-nano`, upgrade to Junior / Senior without rewrites.
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- ```python
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- from openai import OpenAI
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- client = OpenAI(
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- base_url="https://api.minsore.com/v1",
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- api_key="YOUR_API_KEY"
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- )
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- response = client.chat.completions.create(
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- model="wing-nano",
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- messages=[
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- {"role": "user", "content": "Write a Python binary search function."}
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- ]
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- )
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- print(response.choices[0].message.content)
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- ```
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- ## Developer workflow: Prompt β†’ Wing β†’ Code β†’ Test β†’ Fix
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- A tight loop, not a black box:
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- 1. **Generate** β€” Wing generates code from your prompt and context.
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- 2. **Verify** β€” Code runs in a verifier β€” tests execute, errors are captured.
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- 3. **Correct** β€” Failures return to the model. Wing revises the solution.
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- ## Roadmap
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- Staged, not rushed.
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- 1. **Wing Nano** β€” In progress β€” Compact coding intelligence.
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- 2. **Wing Junior** β€” A stronger everyday developer model.
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- 3. **Wing Senior** β€” The compact flagship.
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- 4. **Verified Runtime** β€” Prototype β€” Generation, testing and automatic correction.
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- 5. **Minsore API** β€” Simple, affordable inference for developers.
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- ---
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- Β© 2026 Minsore β€” Minsore β†’ Wing β†’ Nano / Junior / Senior
 
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+ ---
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+ pinned: true
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+ thumbnail: >-
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+ https://cdn-uploads.huggingface.co/production/uploads/69459fa19b664e4df1b439d7/PsEPX8dxzn3O9luwZB3Mz.png
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+ ---
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  ![Minsore logo](logo.png)
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+ # Minsore β€” We make AI fly.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Minsore builds small, efficient models for coding that are easy to run locally β€” no clusters, no expensive GPUs.
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+ Our Wing family scales with the task:
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+ - **wing-nano ~0.7B** β€” fast, lightweight coding assistance
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+ - **wing-junior ~1.7B** β€” everyday coding, debugging, tool use
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+ - **wing-senior ~3B** β€” most capable, agentic workflows
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+ Local-first, developer-first, OpenAI-compatible API.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ > ⚠️ All Wing models are currently in training. Weights and demos will be published here once ready.