ad70b3439c
OpenViking Phase 1b (t_34b96e83) — Ryan-approved implementation. Changes: - roles/llm-inference-multimodel/templates/llama-server-router-preset.ini.j2: Add [nomic-embed-text-v1.5] section with embedding=true, n-gpu-layers=99, ctx-size=8192, load-on-startup=true, sleep-idle-seconds=-1. No flash-attn or KV cache params (embedding models use bidirectional forward pass, not autoregressive KV cache). Var: llm_router_nomic_ctx_size. - roles/llm-inference-multimodel/defaults/main.yml: Add llm_router_nomic_ctx_size: 8192. - host_vars/astro-orbiter/vars.yml: Add nomic-embed-text-v1.5-Q4_K_M.gguf to llm_staged_models list (size_bytes: 84106624, source: nomic-ai/nomic-embed-text-v1.5-GGUF). Update VRAM note to reflect 5 registered models (nomic adds ~84MB, negligible given sleep-idle-seconds=-1 / load-on-startup=true pinning). - playbooks/day2_add_nomic_embed.yml: New day2 playbook following the coder-alias pattern: Phase 1: idempotent GGUF download (exact size check) Phase 2: redeploy preset INI Phase 3: redeploy + restart systemd unit Phase 4: /v1/models gate (all 5 models present) Phase 5: /v1/embeddings smoke test (vector returned, not empty) VRAM: ~84MB, always pinned. No impact on generative model LRU behavior. peter-parker Helm values already point at :8002 for the embedding endpoint.
157 lines
8.7 KiB
Django/Jinja
157 lines
8.7 KiB
Django/Jinja
; ------------------------------------------------------------------------------
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; FILE: roles/llm-inference-multimodel/templates/llama-server-router-preset.ini.j2
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; DESCRIPTION: llama.cpp --models-preset INI for llama-server-router.
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;
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; Purpose: define all router-served GGUFs as named model entries so that:
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; - Each model is explicitly named and configured (no auto-discovery surprises)
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; - Aliases can be added per model (impossible with --models-dir alone)
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; - The Phi-3.5-mini-instruct-Q8_0 entry carries the alias
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; "Phi-3.5-mini-instruct-8bit" — Ryan's Hermes auxiliary.title_generation
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; already references this friendlier name; both names resolve to the same
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; GGUF child process.
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;
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; INI format notes (llama.cpp preset.md):
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; - Section header (e.g. [Phi-3.5-mini-instruct-Q8_0]) is the primary model ID
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; that appears in /v1/models and that clients send in the "model" field.
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; - `alias` adds an ADDITIONAL name — both the section name and the alias work.
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; - The `model` key is the absolute path to the GGUF file.
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; - All other keys map directly to llama-server CLI flags (underscores or hyphens).
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;
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; Known upstream issues (Aug 2026):
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; - GH #22364: --models-preset creates an extra "default" model entry in
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; /v1/models. This is cosmetic — it has no functional effect on model
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; selection by name. Document and move on.
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; - GH #23460: can't pass per-model samplers via --models-preset in router
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; mode. Non-issue: Hermes always sends sampling params in the request body.
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;
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; Added 2026-08-12 (t_9adf0889): Phi alias — War Machine.
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; All per-model settings carry over unchanged from the --models-dir baseline
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; (ctx_size=65536, n_gpu_layers=99, cache=q4_0 for both K and V, models-max=4).
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;
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; UPDATED (t_ryan_per_model_ctx, per Ryan/JARVIS request): Llama-3.1-8B and
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; Phi-3.5-mini now get PER-MODEL ctx-size/flash-attn matched to actual
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; workload instead of the uniform 65536 used by every model previously:
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; - Llama-3.1-8B-Instruct-Q4_K_M: ctx-size 8192 (tool-routing/micro-tasks)
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; - Phi-3.5-mini-instruct-Q8_0: ctx-size 32768 (long web scrapes/logs)
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; Both now request explicit flash-attn=true (was "auto"). Qwen3.6-35B is
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; INTENTIONALLY left untouched at ctx-size 65536 / flash-attn auto — not part
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; of this change. Existing aliases (Meta-Llama-3.1-8B-Instruct-4bit,
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; Phi-3.5-mini-instruct-8bit) are PRESERVED unchanged to avoid breaking live
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; Hermes custom_providers routing — see role README / deployment report for
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; the alias-naming ambiguity flag (Ryan's pasted TOML used different alias
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; strings: "llama-3.1-8b" / "phi-3.5-mini").
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;
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; UPDATED (t_34b96e83, 2026-08-13, per Ryan approval): Added nomic-embed-text-v1.5
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; embedding model. Embedding models fold cleanly into the router preset via
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; embedding=true. No alias needed — clients call it by section name.
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; VRAM estimate ~90MB (negligible). sleep-idle-seconds=-1 keeps it always loaded
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; since embedding calls are latency-sensitive and it costs near-nothing to hold.
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; load-on-startup=true ensures the embedding endpoint is warm at boot without
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; waiting for the first request. — War Machine.
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; ------------------------------------------------------------------------------
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; --- Production model: Qwen3.6-35B-A3B-UD-Q4_K_S ----------------------------
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; Primary model ID: Qwen3.6-35B-A3B-UD-Q4_K_S (unchanged from --models-dir)
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; ~20GB, primary Hermes production LLM. Context: 64K with q4_0 KV cache.
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[Qwen3.6-35B-A3B-UD-Q4_K_S]
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model = {{ llm_models_dir }}/Qwen3.6-35B-A3B-UD-Q4_K_S.gguf
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n-gpu-layers = {{ llm_router_gpu_layers }}
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ctx-size = {{ llm_router_ctx_size }}
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cache-type-k = {{ llm_router_cache_type_k }}
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cache-type-v = {{ llm_router_cache_type_v }}
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batch-size = {{ llm_router_batch_size }}
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ubatch-size = {{ llm_router_ubatch_size }}
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parallel = {{ llm_router_parallel }}
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; --- Auxiliary model: Phi-3.5-mini-instruct-Q8_0 ----------------------------
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; Primary model ID: Phi-3.5-mini-instruct-Q8_0 (unchanged from --models-dir)
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; Alias: Phi-3.5-mini-instruct-8bit (NEW — Ryan's config target)
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; Both names resolve to this GGUF child process.
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; ~3.8GB, auxiliary.title_generation consumer in Ryan's Hermes config.
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; The alias is deployed — "model not found" errors are resolved.
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;
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; KNOWN ISSUE (2026-08-12, t_9adf0889):
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; json_schema response_format fails for Phi-3.5-mini in llama.cpp router
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; mode due to chat template grammar sampler incompatibility (GH #23460).
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; The grammar sampler generates root ::= "assistant|>\n" ... which fails
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; to initialize. This means Hermes auxiliary.title_generation still errors
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; with "HTTP 400: Failed to initialize samplers" when json_schema format
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; is requested. Without response_format (plain text), Phi works fine.
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;
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; Resolution options:
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; a) Update auxiliary.title_generation.model in ~/.hermes/config.yaml to
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; Meta-Llama-3.1-8B-Instruct-Q4_K_M (which supports json_schema) — Ryan
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; needs to approve this config.yaml write (protected file).
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; b) Rebuild llama.cpp from a newer commit if this bug is fixed upstream.
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; c) Accept title generation degradation for Phi-specific structured output.
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[Phi-3.5-mini-instruct-Q8_0]
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model = {{ llm_models_dir }}/Phi-3.5-mini-instruct-Q8_0.gguf
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alias = Phi-3.5-mini-instruct-8bit
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n-gpu-layers = {{ llm_router_gpu_layers }}
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ctx-size = {{ llm_router_phi_ctx_size }}
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flash-attn = {{ llm_router_phi_flash_attn }}
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cache-type-k = {{ llm_router_cache_type_k }}
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cache-type-v = {{ llm_router_cache_type_v }}
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batch-size = {{ llm_router_batch_size }}
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ubatch-size = {{ llm_router_ubatch_size }}
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parallel = {{ llm_router_parallel }}
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; --- Auxiliary model: Meta-Llama-3.1-8B-Instruct-Q4_K_M --------------------
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; Primary model ID: Meta-Llama-3.1-8B-Instruct-Q4_K_M (unchanged from --models-dir)
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; Alias: Meta-Llama-3.1-8B-Instruct-4bit (NEW — friendlier name)
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; Both names resolve to this GGUF child process.
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; ~4.6GB, general-purpose small model. Works with json_schema structured output.
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[Meta-Llama-3.1-8B-Instruct-Q4_K_M]
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model = {{ llm_models_dir }}/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf
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alias = Meta-Llama-3.1-8B-Instruct-4bit
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n-gpu-layers = {{ llm_router_gpu_layers }}
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ctx-size = {{ llm_router_llama_ctx_size }}
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flash-attn = {{ llm_router_llama_flash_attn }}
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cache-type-k = {{ llm_router_cache_type_k }}
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cache-type-v = {{ llm_router_cache_type_v }}
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batch-size = {{ llm_router_batch_size }}
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ubatch-size = {{ llm_router_ubatch_size }}
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parallel = {{ llm_router_parallel }}
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; --- Coder model: Qwen2.5-Coder-14B-Instruct-Q4_K_M -------------------------
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; Primary model ID: Qwen2.5-Coder-14B-Instruct-Q4_K_M (filename-derived)
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; Alias: Qwen2.5-Coder-14B-Instruct-4bit (friendlier name)
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; Both names resolve to this GGUF child process.
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; ~8.4GB weights + ~0.6GB KV @ 16K ctx = ~9.0GB VRAM.
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; ctx-size=16384, flash-attn=true per task t_55c164f5 / Ryan's request.
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; Source: bartowski/Qwen2.5-Coder-14B-Instruct-GGUF (public, no auth)
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; Added 2026-08-13 (t_55c164f5) — War Machine.
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[Qwen2.5-Coder-14B-Instruct-Q4_K_M]
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model = {{ llm_models_dir }}/Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf
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alias = Qwen2.5-Coder-14B-Instruct-4bit
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n-gpu-layers = {{ llm_router_gpu_layers }}
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ctx-size = {{ llm_router_coder_ctx_size }}
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flash-attn = {{ llm_router_coder_flash_attn }}
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cache-type-k = {{ llm_router_cache_type_k }}
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cache-type-v = {{ llm_router_cache_type_v }}
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batch-size = {{ llm_router_batch_size }}
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ubatch-size = {{ llm_router_ubatch_size }}
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parallel = {{ llm_router_parallel }}
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; --- Embedding model: nomic-embed-text-v1.5 ----------------------------------
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; Primary model ID: nomic-embed-text-v1.5 (section name / client-visible ID)
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; ~84MB GGUF — negligible VRAM, always-loaded. Embedding endpoint: /v1/embeddings.
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; embedding=true: required to expose /v1/embeddings and embed the model (not chat).
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; n-gpu-layers=99: GPU offload all layers (tiny model, no reason to leave on CPU).
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; ctx-size=8192: per task spec (OpenViking Phase 1b, t_34b96e83).
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; load-on-startup=true: warm at boot — embedding callers (peter-parker) are
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; latency-sensitive; no cold-load wait on first request.
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; sleep-idle-seconds=-1: never evict — ~84MB is negligible, always keep hot.
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; NO flash-attn, NO KV cache params: embedding models use a different forward
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; pass (bidirectional, no autoregressive KV cache). These keys are irrelevant
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; for embedding inference and may be silently ignored or cause warnings; omit.
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; Source: nomic-ai/nomic-embed-text-v1.5-GGUF (public, no auth needed)
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; Added 2026-08-13 (t_34b96e83) — War Machine.
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[nomic-embed-text-v1.5]
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model = {{ llm_models_dir }}/nomic-embed-text-v1.5-Q4_K_M.gguf
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embedding = true
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n-gpu-layers = {{ llm_router_gpu_layers }}
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ctx-size = {{ llm_router_nomic_ctx_size }}
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load-on-startup = true
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sleep-idle-seconds = -1
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