git merge's 3-way resolver did not flag two semantic duplicates in
tools/server/server-context.cpp because the merge base did not contain
either symbol. The duplicate bodies are byte-identical, so removing
the second copy of each pair is semantically equivalent.

Removed:
  - `const bool near_prompt_end` declaration at line 3653 (upstream
    side, e2ef8fe, "server: fix checkpoints creation" PR ggml-org#22929).
  - `static uint32_t server_n_outputs_max(...)` body at lines 219-232
    (upstream side, de6f727, "llama: limit max outputs of
    llama_context" PR ggml-org#23861; one line modified by 5dcb711,
    "speculative: fix n_outputs_max and remove draft-simple auto-enable"
    PR ggml-org#23988).

Kept:
  - The cache-side copies (72cfbcd), which match the
    cache-optimization chain the Stage 11 work is built on.

…gml-org#23988)

* speculative : add common_speculative_n_max helper function

Extract the speculative max-draft-size logic from server_n_outputs_max
into a reusable common_speculative_n_max() function in common/speculative.

Assisted-by: llama.cpp:local pi

* cont : draft context always has n_parallel outputs

* llama : log n_outputs_max

* speculative : remove draft-simple auto-enable

* ci : enable server tests on PRs

(cherry picked from commit 5dcb711)

Integration glue so the upstream MTP lineage (ggml-org#23198..ggml-org#23398) builds on
this fork without disturbing TurboQuant+ or the custom kernels:

- llama_kv_cache ctor: thread the new `hparams` param and `layer_share_cb`
  through all call sites (iswa, memory-hybrid, dsa, model.cpp); keep the
  fork's turbo auto-asymmetric K upgrade, n_layer_kv() sizing (+3 rotation
  tensors), and per-side LLAMA_ATTN_ROT_* policy (default OFF) — now nested
  under the new `if (other) { share } else { ... }` KV-sharing branch.
- hparams: carry n_layer_all/n_layer_nextn + n_layer()/n_layer_kv() from the
  refactor while keeping the fork's n_layer_kv_from_start; restore the
  swa_layers->is_swa_impl / recurrent_layer_arr->is_recr_impl /
  nextn_predict_layers->n_layer_nextn renames across fork models.
- add n_outputs_max to cparams / common_params / llama_context_params and
  wire it through; restore deepstack_mapping_arr.
- server: keep the ggml-org#23398 ctx_other (MTP draft KV-sharing) wiring; drop the
  ggml-org#23988 --fit VRAM pre-estimation block (depends on upstream helpers not on
  this fork; MTP does not need it).
- drop upstream-only models pulled in by the refactor (deepseek32, mellum,
  talkie); keep non-MTP fork models on their own source + mechanical refactor.

Builds clean on Metal; turbo quant unit test passes (turbo2/3/4 round-trip).
Kernels (ggml-cuda / ggml-metal) untouched.