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ramgpt/Qwen3.8-27B-Human-KO-Enterprise-v0.2-GGUF overview

Qwen3.8 27B Human KO Enterprise v0.2 GGUF GGUF conversion of ThakiCloud/Qwen3.8 27B Human KO Enterprise v0.2 . Files Qwen3.8 27B Human KO Enterprise v0.2 Q4 K …

ggufllama.cppbase_model:ThakiCloud/Qwen3.8-27B-Human-KO-Enterprise-v0.2base_model:quantized:ThakiCloud/Qwen3.8-27B-Human-KO-Enterprise-v0.2endpoints_compatibleregion:usconversational

Runs locally from ~15.66 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
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Qwen3.8-27B-Human-KO-Enterprise-v0.2-Q4_K_M.ggufGGUFQ4_K_M15.66 GBDownload

Model Details

Model IDramgpt/Qwen3.8-27B-Human-KO-Enterprise-v0.2-GGUF
Authorramgpt
Pipeline—
License—
Base modelThakiCloud/Qwen3.8-27B-Human-KO-Enterprise-v0.2
Last modified2026-09-24T19:17:19.000Z

Model README

---

base_model: ThakiCloud/Qwen3.8-27B-Human-KO-Enterprise-v0.2

tags:

  • gguf
  • llama.cpp

---

Qwen3.8-27B-Human-KO-Enterprise-v0.2-GGUF

GGUF conversion of ThakiCloud/Qwen3.8-27B-Human-KO-Enterprise-v0.2.

Files

  • Qwen3.8-27B-Human-KO-Enterprise-v0.2-Q4_K_M.gguf — Q4_K_M — 15.66 GiB

SHA256: a34a57444c548172b72f46d7a9320b6230627812df74a6e2efede71286e3420d

Conversion scope

The source checkpoint is multimodal, but this GGUF is a text-only conversion. Vision/image weights and an mmproj artifact are not included. Do not treat this file as preserving the source model's multimodal capability.

Conversion note

No MTP/NextN mismatch was detected by the preflight checks. GGUF preserves the source MTP/NextN tensors. In the tested standard llama.cpp autoregressive server path, blk.64 / nextn tensors were logged as unused, so the smoke results validate the main 64-layer generation path rather than an MTP speculative path.

Validation gate

Before upload this exact file passed a real llama-server /v1/chat/completions smoke gate using the source chat template path. The gate checks:

  • model loads successfully
  • system/user chat template separation
  • exact-output compliance for strict smoke prompts
  • generation ends with finish_reason=stop instead of hitting the token cap
  • no pseudo-role continuation such as /user or /assistant
  • basic arithmetic generation
  • no raw chat control-token leakage
  • no thinking-tag leakage when reasoning is disabled

Reasoning mode used for smoke: auto.

Korean enterprise-action JSON smoke

Passed 3/3 strict JSON action cases. All tested generations ended normally: True. The cases exercised CALL_TOOL, ASK_CLARIFY, and REFUSE decisions with exact single-object JSON output.

Source

Source revision used for conversion: d03c8ead02103d6c1b737dfd384ecb9031ca620c.

Source HEAD checked immediately before publish: d03c8ead02103d6c1b737dfd384ecb9031ca620c.

If these revisions differ while the source safetensors fingerprints are unchanged, the difference is metadata-only and publishing remains allowed.

All model credit belongs to the original model authors.

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