EnclaveHost/qwen3.5-0.8b-gguf overview
qwen3.5 0.8b gguf Enclave model volume Curated model volume for Enclave https://enclave.host confidential inference: Qwen3.5 0.8B at Q8 0 ~775 MB , a single fi…
Runs locally from ~774.2 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen3.5-0.8B-Q8_0.gguf | GGUF | Q8_0 | 774.2 MB | Download |
Model Details
| Model ID | EnclaveHost/qwen3.5-0.8b-gguf |
|---|---|
| Author | EnclaveHost |
| Pipeline | — |
| License | apache-2.0 |
| Base model | Qwen/Qwen3.5-0.8B |
| Last modified | 2026-07-25T01:56:01.000Z |
Model README
---
license: apache-2.0
base_model: Qwen/Qwen3.5-0.8B
tags:
- gguf
- qwen3.5
- enclave
---
qwen3.5-0.8b-gguf (Enclave model volume)
Curated model volume for Enclave confidential inference:
Qwen3.5-0.8B at Q8_0 (~775 MB), a single-file GGUF bundled with the official
tokenizer.json so the volume is self-contained.
This is the family's SPECULATIVE-DECODING DRAFT volume: attach it next to
qwen3.5-9b-gguf, qwen3.6-27b-gguf, or qwen3.5-122b-gguf and name it in
the llm-chat config ("draft": "qwen3.5-0.8b-gguf") to have it propose tokens
the big model verifies in one batched pass. Output is byte-for-byte the big
model's own (exact-match verification); the draft only changes speed. Q8_0
rather than a 4-bit quant because a draft's sole job is predicting the target's
picks - the ~0.4 GB saved by 4-bit is not worth the acceptance-rate loss.
Upstream unsloth/Qwen3.5-0.8B-GGUF
ships five quantizations plus a vision mmproj and no tokenizer.json. This
volume carries ONLY the one served quant plus the tokenizer (same rationale as
the sibling volumes): a multi-gguf volume makes the host's preload pick
ambiguous, and the extra files never serve.
Provenance
| File | Upstream | Revision | sha256 |
|------|----------|----------|--------|
| Qwen3.5-0.8B-Q8_0.gguf | unsloth/Qwen3.5-0.8B-GGUF | 6ab461498e2023f6e3c1baea90a8f0fe38ab64d0 | 0ad885ffd4bb022fc4f0d33a3308fa108ef8613159d3b3a67e23abca056b7a6c |
| tokenizer.json | Qwen/Qwen3.5-0.8B | 2fc06364715b967f1860aea9cf38778875588b17 | 5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42 |
The tokenizer is byte-identical to the ones in qwen3.5-9b-gguf,
qwen3.6-27b-gguf and qwen3.5-122b-gguf (the Qwen3.5/3.6 family shares it -
same sha256, vocab 248320, <|im_end|> 248046 / <|endoftext|> 248044),
which is exactly the property the speculative-decoding compatibility gate
requires.
Model geometry (GGUF arch qwen35, hybrid-SSM): 24 layers,
full_attention_interval 4 (6 KV layers), 2 KV heads, head_dim 256.
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; the wasm-manager mounts it
read-only at /models/qwen3.5-0.8b-gguf.
Run EnclaveHost/qwen3.5-0.8b-gguf with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models