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refinefuture-ai/GLM-4.6V-Flash-REFFT
GLM-4.6V-Flash-REFFT is a text generation model from refinefuture-ai. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
Hexagon HTP serving bundles for ZhipuAI/GLM-4.6V-Flash.
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Updated Aug 6, 2026
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.refft6 GB · 100%
From the Hugging Face model README
Hexagon HTP serving bundles for ZhipuAI/GLM-4.6V-Flash.
Each artifact ending in .refft is one packaging variant for
refft-hexagon (cli | serve).
GLM-4.6V-Flash-W4.refft # one RFTB file (magic RFTB)
| Field | Value |
|---|---|
| Source | GLM-4.6V-Flash W4DA16-PERF |
| Container | RFTB (general.scheme=hexagon.serving.v1) |
| Load | mmap BlobStore (no extract) |
| Runtime | generic Visa LM (host_ops.embed.placement=host_only) |
| Weights | multi-part paged (p768), resident_window=1 |
| Task | causal_lm (text; vision not in this pack) |
Skel: use interleaved partial-RoPE build (e.g. librefft_hexagon_v73_rope_safe_reint.so).
soft_pair can run but may yield wrong first tokens.
# After the file is on device:
export REFFT_HEXAGON_MODULE_PATH=/librefft_hexagon_v73_rope.so
export REFFT_HEXAGON_ARCH_VERSION=73
export REFFT_HEXAGON_MAX_PERFORMANCE_MODE=1
refft-hexagon cli \
--model /path/to/GLM-4.6V-Flash-W4.refft \
--backend hexagon \
--prompt "Who are you?" \
--max_new_tokens 16
Verified reference: chat prompt “Who are you?” → first_token=151350 and Chinese <think>… prefix.
docs/guides/refft_serving_bundle_rftb.mddocs/guides/refft_generic_execution_contract.mddocs/guides/refft_serving_pack_test_upload.md