* Studio: show an actionable message when the GGUF runtime is missing
Selecting a GGUF model with no llama-server installed surfaced a generic
"Invalid model" in the UI, because validate_model's catch-all discarded the
real cause. Add LlamaServerNotFoundError (a RuntimeError subclass) raised by the
GGUF preflight in ModelConfig.from_identifier, and catch it in the validate
route so users get an actionable message: run `unsloth studio setup` to
download the prebuilt llama.cpp runtime. Other validation failures keep the safe
generic message. Adds a regression test.
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* Studio: also map missing GGUF runtime to a 400 in load_model
validate_model already surfaces the actionable 'install the runtime'
message for LlamaServerNotFoundError; load_model fell through to the
generic 500 'Failed to load model'. Catch it there too so a GGUF load
without llama-server gives the same install hint instead of a 500.
* Trim comments for PR #6327
* Studio: fix stale validate test after #6398 and surface missing GGUF runtime on /load
- test_other_runtime_errors_do_not_get_gguf_message: after merging #6398,
validate_model surfaces a RuntimeError's own message, so a plain RuntimeError
no longer returns "Invalid model". Assert it does not receive the GGUF
install message instead (the prior assertion was stale after the main merge).
- Raise LlamaServerNotFoundError (not a plain RuntimeError) at the backend
load-time missing-binary branch, after diffusion routing, so /load returns the
actionable 400 like remote validation, instead of a generic 500.
- Share LLAMA_SERVER_NOT_FOUND_DETAIL between the from_identifier preflight and
the load-time raise so the message stays in sync.
- Add a propagation regression test for the non-tensor load path.
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