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AI 仓库情报摘要
FR-AI / ANALYSIS为什么值得关注
该仓库提供了系统化的多轮次基准测试，重点关注可靠性、可部署性以及实际智能体使用场景，为拥有96-128GB内存硬件的用户给出了明确的模型推荐。
适合谁使用
- 构建本地AI代理的开发者
- 评估LLM工具使用能力的研究人员
- 拥有96-128GB内存设备的爱好者
- 需要可靠模型的人工智能安全工程师
典型使用场景
- 选择默认生产环境智能体后端
- 评估安全关键或对抗性工作负载
- 优化低延迟与高可靠性需求
- 避免带有危险注入漏洞的模型
项目优势
- 全面的多类别基准测试（84个场景、16个类别）
- 透明的方法论：每个模型8次试验，提供Pass@8、Pass^8等详细指标
- 清晰的层级推荐和排名，附带可操作建议
- 顶级模型在所有核心智能体类别中无失败场景
使用前须知
- 基准数据仅限于所测试的模型，可能未覆盖所有可用本地模型
- 结果特定于Hermes Agent框架和tool-eval-bench评估工具
- 顶级模型需要96-128GB内存的硬件支持
README 快速开始
Best Local Model for Agentic Workflows for single DGX Spark or other 96-128gb rigs (2026)
Interactive comparison report for choosing a local LLM backend for agentic workflows — multi-turn tool orchestration, function calling, and autonomous planning as exercised by frameworks like Hermes Agent.
Benchmark data comes from tool-eval-bench: 84 scenarios, 16 categories, 8 trials per model (where available), scored pass / partial / fail.
Quick answer
Use Qwen 3.6 35B A3B UD Q8_K_XL as your default Hermes Agent backend.
| Metric | Qwen 35B Q8_K_XL |
|---|---|
| Mean score | 91.0 |
| Pass@8 (capability ceiling) | 91.7% |
| Pass^8 (reliability floor) | 76.2% |
| Deployability | 79 |
| Median turn | 2.5s |
| Never-pass scenarios | 0 |
It is the only model with 100% across all core agent categories on every trial: multi-step chains, error recovery, tool selection, parameter precision, structured output, and instruction following.
View the reports
Open either HTML file in a browser — no build step, no server required.
| Report | Theme | File |
|---|---|---|
| Primary | Dark | agentic-model-comparison.html |
| Alternate | Light | agentic-model-comparison-light.html |
git clone https://github.com/MiaAI-Lab/Best-Local-Model_Agentic-Workflows_2026.git
cd Best-Local-Model_Agentic-Workflows_2026
xdg-open agentic-model-comparison.html # Linux
open agentic-model-comparison.html # macOS
Full ranking (agentic use)
| Rank | Model | Score | Why |
|---|---|---|---|
| 1 | Qwen 3.6 35B A3B UD Q8_K_XL | 91.0 | Best overall: score, capability, deployability, zero never-pass |
| 2 | Qwen 3.6 27B NVFP4 | 89.0 | Hard-mode / safety tier (93% hard, 96% safety, 81% Pass^8) |
| 3 | Qwopus 3.6 27B Coder MTP | 85.2 | Fastest reliable tier (2.2s, 4.8pp gap, 100% error recovery) |
| 4 | DeepSeek V4 Flash Q2 | 86.5 | High ceiling (88.1% Pass@8) but TC-60 injection + 23 safety warnings |
| 5 | Agents-A1 Q8_0 | 83.4 | High Pass@8 ceiling (90.5%), flaky floor (64.3%) |
| 6 | Gemma 4 26B NVFP4 | 81.4 | Mid-tier |
| 7 | Nemotron 3 N |
项目描述
Head-to-head comparison of local LLMs for agentic workflows (Hermes Agent, tool-eval-bench)
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