MODEL PROFILE · 模型档案

qwen2.5-coder-3b-claude_opus_4.6-distilled

ryzdfm · qwen2.5-coder-3b-claude_opus_4.6-distilled

A compact, fast, locally-runnable coding model fine-tuned on top of **Qwen2.5-Coder-3B-Instruct** using high-quality reasoning trajectories distilled from **Claude 4.6 Opus**. Designed to run efficiently on consumer hardware with as little as **4GB VRAM** at ~88 tokens/sec. **QwOpus-4.6-Coder-3B** (full name: `Qwen2.5-Coder-3B-Claude-Opus-4.6-Distilled`) combines the strong code generation foundation of Qwen2.5-Coder with the structured, step-by-step reasoning style of Claude 4.6 Opus. Through Supervised Fine-Tuning (SFT) with LoRA, the model learns to think through problems carefully inside ` ` tags before delivering precise, well-structured answers. Unlike larger distilled models, this 3B model is built for **real local inference** — fast, private, and fits comfortably in 4GB VRAM.

译文排队中,当前展示来源原文。

文本生成reasoninglicense:apache-2.0
上下文窗口来源未披露
输入 → 输出文本 → 文本
模型权重待核验
档案更新时间2026/10/31 02:22:39
OVERVIEW

模型介绍

A compact, fast, locally-runnable coding model fine-tuned on top of **Qwen2.5-Coder-3B-Instruct** using high-quality reasoning trajectories distilled from **Claude 4.6 Opus**. Designed to run efficiently on consumer hardware with as little as **4GB VRAM** at ~88 tokens/sec. **QwOpus-4.6-Coder-3B** (full name: `Qwen2.5-Coder-3B-Claude-Opus-4.6-Distilled`) combines the strong code generation foundation of Qwen2.5-Coder with the structured, step-by-step reasoning style of Claude 4.6 Opus. Through Supervised Fine-Tuning (SFT) with LoRA, the model learns to think through problems carefully inside ` ` tags before delivering precise, well-structured answers. Unlike larger distilled models, this 3B model is built for **real local inference** — fast, private, and fits comfortably in 4GB VRAM.

主要特点

特点摘要待依据来源补齐,不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

PRICING & COST

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价,不将渠道价格视为厂商官方统一价格。

来源 / 渠道输入输出计费单位采集时间
暂未取得可核验报价,请查阅来源渠道。

按月估算基础 Token 费用

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预估不包含缓存优惠、阶梯定价、多模态附加费用、网络检索、税费及推理额外输出。

INDEPENDENT BENCHMARKS

公开评测与运行配置

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

查看完整已收录榜单 →

常见问题

开放权重是否代表可以免费商用?

不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。

这些价格是实时结算价格吗?

不是实时结算价格,而是带采集时间的来源报价快照。请到对应渠道核对当前版本、区域、折扣和计费方式。

资料来源与可追溯记录

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。