Best Code associated with small compute: Meet Osmosis-Aps-1.7B from Osmosis AI
Osmosis AI is open Osmosis-Apple-1.7bGood QWEN3-1.7B variations, designed to perform accurate and formal tasks of the consolidation code. Dreaming from Ider agents is like “Soon Apply,” Osmosis-Apple-1.7B prepared for critical, functional activity. The model reaches strong performance with a few parameters compared to the major basic models by filing specific codes, high-quality data, and model Contectton protocol.
Purpose – designed for Code Collection Activities
Unlike the general policy llms including DIFF application and Semantic Application, Osmosis-Apple-1.7B special training in the operating or restrictive planning. The model takes the planned input: (1) Real code, (2) a set of planning or variations and recall the revised code code where change is used in block. This format aligns with production-grade expectations and simplifies validation.
Training and reward structure
Osmosis-1.7B has watched the real real world of tripping Data setting, representing less than 15% of the full corpus. Each training sample was planned to represent the effective developer flow. A program is used based on the reward
- Full match (including formatting): Reward = 1.0
- Semantic game (ignoring empty lines): reward = 0.2
- Wrong match or failed: reward = 0.0
This Schema reward intenses higher reliability results while allowing some fluctuation to the stylistic change, it is closely imitating that Code updates apply to operation.
Benchmark results
Osmosis AI points a model mark using 10,000 10,000 tests from tripping dataset. Middle Rewance Scores Displays a Firm Works Related to High LLMS:
| Statue | Reward Score |
|---|---|
| Osmosis-Apple-1.7b | 0.9805 |
| Claude 4 Sonnet | 0.9328 |
| GPT-3.5-TURBO | 0.8639 |
| Gemini-2.5-Flash | 0.7745 |
These results highlight the power of the model to use local changes while storing semantics, formatting, and structure.
MCP integration of the engineering transaction
The keyword keyword for its traditional support of the Protocol ModelConglect Protocol (MCP)Allow the correct formal invitation of the Hierarchies of the file, work names, and plan tag. The model is attached to apply-code MCP Spec, allows seamless use in the CLI tools and EDI agents. Returns changes to app level and scheming marks using well-organized XML style tags, which simplifies tracking the river.
To find the enemy's ability and use cases
Osmosisis AI also issued the implementation of the reference support for local monitoring and merchandise such as VLLM or Gulp Server. The tool includes examples of use based on the CLI, the use of the MCP server, and secure shipping guidelines.
The charges for using key include:
- Ide agents donate with “Apply” on user-defined changes
- CI Bots uses auto-restror or changes designed for review
- DOWSSTREAM FINE DATASEM Pipes
- Code Transformation Tools with Back-Back WRING to combine
Format and Sending
The results of a scheduled model and safetensors including GGUF Shipping well. Osmosis-1.7B can be held in your area or work in used mode for optimized hardware oppressed hardware.
Availability of License
Osmosis-1.7B is available under Apache-2.0 license and handled on both faces and GitTub. The exemption includes all required moderation documents, examples of submission relating to the MCP, and formatted formatting guidelines.
Store
By receiving open Osmosis – Request-1.7B, Osmosis AI deals with the keyword key planning, the code planning models failed. Unlike basic models, this special model includes Compork size with accurate alignment and formatting format. Its MCP integration, good support based on the good rebuilding, and the Syntactic structure supports the right person to gain real engineer's strength.
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