Jack-3.8-27B-V2-VL-16GB-VRAM
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View details ↗DISCOVER & COMPARE
Explore AI models 84999
Qwen3.5-27B-Uncensored-RYS-Reasoner-GGUF
jackasda211233基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3.6-27B-AEON-RYS-15-20-GGUF
jackasda211233基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3.8-Flash-Next-Uncensored-IQ4_NL
jackasda211233基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen2.5-3B-Instruct-Q4_K_M-GGUF
JackeyLai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗llama-160m
JackFramThis is a LLaMA-like model with only 160M parameters trained on Wikipedia and part of the C4-en and C4-realnewslike datasets. The model is mainly developed as a base Small Speculative Model in the SpecInfer paper.
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View details ↗llama-68m
JackFramThis is a LLaMA-like model with only 68M parameters trained on Wikipedia and part of the C4-en and C4-realnewslike datasets. The model is mainly developed as a base Small Speculative Model in the SpecInfer paper. > **Notes on Failed Tasks:** The `Arithmetic` and `SocialIQA` benchmarks failed during execution due to runtime pipeline incompatibilities, yielding no score. Total evaluation runtime was **44.74 minutes**.
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View details ↗R3GE_Quen2.5_7B
JackFRost0703基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗jailbreak-classifier
jackhhao基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗codeguard-jev-style-1.5b
JackKozmo29**Local System One model for PR code-review triage. JEV-compatible typed verdicts, no API key required.** > *Drop-in local alternative to TypeSafe Jev for code-review pipelines. > Returns verdict, risk level, and flags per PR — swap the endpoint, keep the agent.* codeguard-jev-style-1.5b is a fine-tuned Qwen2.5-1.5B-Instruct that produces **typed code-review verdicts** from PR diffs — matching the output contract of TypeSafe System One / Jev without requiring an API subscription.
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View details ↗depguard-jev-style-1.5b
JackKozmo29**Local System One model for dependency security review. JEV-compatible typed verdicts, no API key required.** > *Drop-in local alternative to TypeSafe Jev for supply-chain review pipelines. > Returns safe/caution/block per package update — swap the endpoint, keep the agent.* depguard-jev-style-1.5b is a fine-tuned Qwen2.5-1.5B-Instruct that produces **typed dependency security verdicts** — matching the output contract of TypeSafe System One / Jev for supply-chain review use cases.
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View details ↗mailguard-jev-style-1.5b
JackKozmo29**Local System One model for enterprise inbox triage. JEV-compatible typed decisions, no API key required.** > *Drop-in local alternative to TypeSafe Jev for inbox triage pipelines. > Returns the same typed judgment schema — swap the endpoint, keep the agent.* mailguard-jev-style-1.5b is a fine-tuned Qwen2.5-1.5B-Instruct optimized to produce **typed triage judgments** over enterprise email — matching the output contract of TypeSafe System One / Jev without requiring an API subscription.
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View details ↗sevclassifier-jev-style-1.5b
JackKozmo29**Local System One model for incident severity classification. JEV-compatible typed decisions, no API key required.** > *Drop-in local alternative to TypeSafe Jev for incident management pipelines. > Returns SEV1-4, escalation flag, and blast radius — swap the endpoint, keep the agent.* sevclassifier-jev-style-1.5b is a fine-tuned Qwen2.5-1.5B-Instruct that produces **typed incident severity classifications** — matching the output contract of TypeSafe System One / Jev for incident triage pipelines.
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View details ↗lavida-llada-v1.0-instruct
jacklishufan基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗LaViDa-O-v1.0
jacklishufan基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗debug-moe-0.5B
Jackmin108基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗TinyStories
jackoyoungblood基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗TinyStoriesProject
jackoyoungblood基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗TinyStoriesTest
jackoyoungblood基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗DeepSeek-V4-Pro-Qwen3.5-4B
Jackrong基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗🔬 DeepSeek-V4-Pro Distillation 🧠 4B Parameters 📐 ~250K Math & STEM Samples ⚡ MTP-Q8 Evaluated 💡 What is DeepSeek-V4-Pro-Qwen3.5-4B? DeepSeek-V4-Pro-Qwen3.5-4B is a reasoning-focused fine-tune of Qwen3.5-4B , distilled from responses generated by DeepSeek-V4-Pro in Max Effect mode . It follows the same training pipeline and approximately 250,000-sample mathematics and STEM mixture used for the 9B release, while targeting a substantially smaller and more accessible deployment class. 🧩 Structured Reasoning Learns multi-step solution patterns and explicit problem decomposition from a strong teacher.
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