MODEL PROFILE · 模型档案

Whittle-Qwen-3.8-35B-A3B-GGUF

logic65 · Whittle-Qwen-3.8-35B-A3B-GGUF

> ### ☕ Support this work > Whittle is built by one person on a grocery budget and rented GPU hours. If this research is useful to you, or you want to see it finished: > **ko-fi.com/davida81328**. Every hour of GPU time goes straight into the next checkpoint, and every checkpoint, table and log lands in these repos. Ready-to-run **llama.cpp** quantisations of logic65/Whittle-Qwen-3.8-35B-A3B: a 35.1 B-total, ~3 B-active mixture-of-experts in the Qwen3.8-Flash-Next (`qwen4_exp`) format with a **10 B-parameter n-gram memory that is load-bearing** (the body measurably needs it; see the base card). Distilled from Qwen3.8-27B at the logit level on 25k verified teacher traces; built on Whittle-Next-27B-A3B. **Runs on stock llama.cpp, no patches.** The full card, measurements and caveats are on the base repo; this repo is the download. **Current.** These files are the **Phase-2 step 32010 root** (*p2-s32010*, 30 Sep 2026) of the current Whittle flagship: the complete Phase-2 distillation from Qwen3.8-27B (every usable teacher row seen once), a memory phase, and a 410-step fix for the llama.cpp web page's browser tools. The previous (p2-s6000) ladder was replaced in place; the earlier full weights stay under `bf16-s6000/`, `bf16-agentfix2/`, `bf16-lw5/`, `bf16-lw2/` and `bf16-tbl1/` on the base repo.

译文排队中,当前展示来源原文。

文本生成reasoningcodelicense: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2026/11/1 01:15:41
OVERVIEW

模型介绍

> ### ☕ Support this work > Whittle is built by one person on a grocery budget and rented GPU hours. If this research is useful to you, or you want to see it finished: > **ko-fi.com/davida81328**. Every hour of GPU time goes straight into the next checkpoint, and every checkpoint, table and log lands in these repos. Ready-to-run **llama.cpp** quantisations of logic65/Whittle-Qwen-3.8-35B-A3B: a 35.1 B-total, ~3 B-active mixture-of-experts in the Qwen3.8-Flash-Next (`qwen4_exp`) format with a **10 B-parameter n-gram memory that is load-bearing** (the body measurably needs it; see the base card). Distilled from Qwen3.8-27B at the logit level on 25k verified teacher traces; built on Whittle-Next-27B-A3B. **Runs on stock llama.cpp, no patches.** The full card, measurements and caveats are on the base repo; this repo is the download. **Current.** These files are the **Phase-2 step 32010 root** (*p2-s32010*, 30 Sep 2026) of the current Whittle flagship: the complete Phase-2 distillation from Qwen3.8-27B (every usable teacher row seen once), a memory phase, and a 410-step fix for the llama.cpp web page's browser tools. The previous (p2-s6000) ladder was replaced in place; the earlier full weights stay under `bf16-s6000/`, `bf16-agentfix2/`, `bf16-lw5/`, `bf16-lw2/` and `bf16-tbl1/` on the base repo.

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

—

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。