GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →
Model Intelligence Sheet

EnclaveHost/qwen3.5-9b-gguf overview

qwen3.5 9b gguf Enclave model volume Curated model volume for Enclave https://enclave.host confidential inference: Qwen3.5 9B at unsloth Dynamic Q4 K XL ~6 GB …

ggufqwen3.5enclavebase_model:Qwen/Qwen3.5-9Bbase_model:quantized:Qwen/Qwen3.5-9Blicense:apache-2.0endpoints_compatibleregion:usimatrixconversational

Runs locally from ~5.56 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
0
Likes
0
Pipeline

Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Qwen3.5-9B-UD-Q4_K_XL.ggufGGUFQ4_K_XL5.56 GBDownload

Model Details

Model IDEnclaveHost/qwen3.5-9b-gguf
AuthorEnclaveHost
Pipeline
Licenseapache-2.0
Base modelQwen/Qwen3.5-9B
Last modified2026-07-18T14:56:49.000Z

Model README

---

license: apache-2.0

base_model: Qwen/Qwen3.5-9B

tags:

  • gguf
  • qwen3.5
  • enclave

---

qwen3.5-9b-gguf (Enclave model volume)

Curated model volume for Enclave confidential inference:

Qwen3.5-9B at unsloth Dynamic Q4_K_XL (~6 GB), a single-file GGUF bundled with

the official tokenizer.json so the volume is self-contained.

Upstream unsloth/Qwen3.5-9B-GGUF

ships 22 quantizations plus a BF16 export and vision mmproj-* files (~160 GB

total) and no tokenizer.json. This volume carries ONLY the one served quant

plus the tokenizer (same rationale as qwen2.5-0.5b-gguf / qwen3.5-122b-gguf):

a multi-gguf volume makes the host's preload pick ambiguous, and wrapping the

whole repo wastes ~154 GB of attested volume for files that never serve. The

mmproj files are omitted deliberately — llm-chat's ggml path is text-only and

preloads a single LLM gguf.

Provenance

| File | Upstream | Revision | sha256 |

|------|----------|----------|--------|

| Qwen3.5-9B-UD-Q4_K_XL.gguf | unsloth/Qwen3.5-9B-GGUF | 3885219b6810b007914f3a7950a8d1b469d598a5 | 6f5d30666c2d8ae16a306e616d95341dcf3cc46810df84d7e6f5a7d1e4c1b293 |

| tokenizer.json | Qwen/Qwen3.5-9B | c202236235762e1c871ad0ccb60c8ee5ba337b9a | 5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42 |

The tokenizer is byte-identical to the one in qwen3.5-122b-gguf (the Qwen3.5

family shares it — same sha256, same vocab 248320, <|im_end|> 248046 /

<|endoftext|> 248044).

LICENSE is the Apache-2.0 text; both upstreams are Apache-2.0.

Usage on Enclave

Wrapped as a Tinfoil Modelwrap volume (dm-verity; the root hash is part of the

enclave measurement). Deployments attach it by name and the guest reads it at

/models/<name>; the host preloads the GGUF as the wasi-nn ggml graph. As the

volume's single gguf it needs no MODEL_VOLUMES third field and no model_file

override, and with the tokenizer bundled, llm-chat's default tokenizer.json

lookup works with no cross-volume configuration.

Run EnclaveHost/qwen3.5-9b-gguf with guIDE

Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.

Download guIDE → · Browse 524k+ models · Compare models

Source: Hugging Face · Compare models