llama.cpp
UnknownChecked the exact model config and the runtime architecture registry; no matching declared architecture was found. This is unknown, not evidence of incompatibility.
Checked 2026-10-22 14:55 UTC
Checked source ↗tencent · observed 22 Oct 2026
Public-source support evidence
We have not found public evidence yet that Tencent-Hunyuan-Large is listed in llama.cpp, Ollama, LM Studio, MLX or vLLM.
tencent/Tencent-Hunyuan-Large
Tencent-Hunyuan-Large is a text generation model published by tencent on Hugging Face. We have not written a summary yet; see the model card ↗
View source model ↗SUPPORT EVIDENCE
Checked the exact model config and the runtime architecture registry; no matching declared architecture was found. This is unknown, not evidence of incompatibility.
Checked 2026-10-22 14:55 UTC
Checked source ↗The exact model and runtime-specific sources were checked; no positive model-level evidence was established.
Checked 2026-10-22 16:53 UTC
Version v0.40.8
Checked source ↗The exact model and runtime-specific sources were checked; no positive model-level evidence was established.
Checked 2026-10-22 16:53 UTC
Checked source ↗Checked the exact model config and the runtime architecture registry; no matching declared architecture was found. This is unknown, not evidence of incompatibility.
Checked 2026-10-22 14:55 UTC
Checked source ↗Checked the exact model config and the runtime architecture registry; no matching declared architecture was found. This is unknown, not evidence of incompatibility.
Checked 2026-10-22 14:55 UTC
Checked source ↗MLX community uploads may target mlx-vlm; an upload observation does not establish mlx-lm compatibility.
MEMORY ESTIMATES
Which file should I grab?
No observed complete artifact currently qualifies.Unknown: no observed complete artifact fits this capacity with documented headroom.
Which file should I grab?
No observed complete artifact currently qualifies.Unknown: no observed complete artifact fits this capacity with documented headroom.
Which file should I grab?
No observed complete artifact currently qualifies.Unknown: no observed complete artifact fits this capacity with documented headroom.
Which file should I grab?
No observed complete artifact currently qualifies.Unknown: no observed complete artifact fits this capacity with documented headroom.
Memory estimates are the observed file size plus fixed headroom (20% plus 1.5 GB runtime allowance); real needs also depend on context length, KV cache and runtime settings. Fit is an estimate; it does not establish runtime compatibility, speed, context length, or hardware performance. Text-weights-only estimates do not include a projector or total vision memory where unknown.
Terms: a quant is a lower-precision version of the weights; GGUF is a file format used by llama.cpp and compatible apps; MLX targets Apple silicon; vLLM is a model-serving engine for NVIDIA GPUs; the KV cache is stored attention state that grows with context length. Terms explained ↗
OBSERVED FILES
Sizes and file groups come from the listed uploader repositories. A size is marked as an estimated fit only for a complete observed GGUF quant group.
No observed quant uploads in this snapshot.
CURATED TRACKING
No curated issues verified for this snapshot. An empty list does not mean there are no bugs.
HARDWARE NOTES
No execution or benchmark results are published for this model yet.