feat: show live Ollama model loading progress
This commit is contained in:
Vendored
+7
-5
@@ -156,16 +156,18 @@
|
||||
|
||||
function RuntimePanel(props) {
|
||||
var runtime = props.runtime || {}, total = Number(runtime.memory_total_bytes || 0), used = Number(runtime.memory_used_bytes || 0), pct = total ? Math.min(100, used * 100 / total) : 0;
|
||||
var gpu = runtime.gpu || {}, models = runtime.model_memory || [];
|
||||
var gpu = runtime.gpu || {}, models = runtime.model_memory || [], loading = runtime.model_loading || [];
|
||||
var ollamaBytes = Number(runtime.ollama_model_bytes || 0), ollamaTargetBytes = Number(runtime.ollama_target_model_bytes || ollamaBytes), ollamaPct = total ? Math.min(100, ollamaTargetBytes * 100 / total) : 0;
|
||||
return h("section", { className: "ollama-runtime-panel" },
|
||||
h("div", { className: "ollama-runtime-heading" }, h("div", null, h("h3", null, "Live runtime memory"), h("p", null, "Updates every second while this panel is open.")), h(Badge, { tone: gpu.detected ? "live" : "muted" }, gpu.detected ? "GPU detected" : "CPU-only / no supported GPU telemetry")),
|
||||
h("div", { className: "ollama-runtime-heading" }, h("div", null, h("h3", null, "Live runtime memory"), h("p", null, "Updates every second while this panel is open.")), h(Badge, { tone: loading.length ? "live" : (gpu.detected ? "live" : "muted") }, loading.length ? "MODEL LOADING" : (gpu.detected ? "GPU detected" : "CPU-only / no supported GPU telemetry"))),
|
||||
h("div", { className: "ollama-runtime-grid" },
|
||||
h("div", { className: "ollama-runtime-stat" }, h("small", null, "System RAM used"), h("strong", null, fmtBytes(used), " / ", fmtBytes(total)), h("div", { className: "ollama-meter" }, h("span", { style: { width: pct + "%" } })), h("small", null, fmtBytes(runtime.memory_available_bytes || 0), " available")),
|
||||
h("div", { className: "ollama-runtime-stat" }, h("small", null, "Swap used"), h("strong", null, fmtBytes(runtime.swap_used_bytes || 0), " / ", fmtBytes(runtime.swap_total_bytes || 0)), h("small", null, "Host-wide live statistic")),
|
||||
h("div", { className: "ollama-runtime-stat" }, h("small", null, "GPU telemetry"), h("strong", null, gpu.telemetry_available ? (gpu.gpus || []).map(function (item) { return item.name + " · " + fmtBytes(item.used_bytes) + " / " + fmtBytes(item.total_bytes); }).join("; ") : "Unavailable"), h("small", null, gpu.detected ? "Ollama VRAM split is still shown below." : "No supported GPU was detected."))
|
||||
h("div", { className: "ollama-runtime-stat" }, h("small", null, "GPU telemetry"), h("strong", null, gpu.telemetry_available ? (gpu.gpus || []).map(function (item) { return item.name + " · " + fmtBytes(item.used_bytes) + " / " + fmtBytes(item.total_bytes); }).join("; ") : "Unavailable"), h("small", null, gpu.detected ? "Ollama VRAM split is still shown below." : "No supported GPU was detected.")),
|
||||
h("div", { className: "ollama-runtime-stat ollama-weight-stat" }, h("small", null, "Ollama model weights"), h("strong", null, fmtBytes(ollamaBytes), " resident"), h("div", { className: "ollama-meter" }, h("span", { style: { width: ollamaPct + "%" } })), h("small", null, loading.length ? "Loading target: " + fmtBytes(ollamaTargetBytes) : "Mapped weight bytes; Linux may report them as file cache"))
|
||||
),
|
||||
h("div", { className: "ollama-memory-chart" }, (props.samples || []).map(function (sample, index) { var height = sample.total ? Math.max(3, Math.min(100, sample.used * 100 / sample.total)) : 3; return h("span", { key: index, title: fmtBytes(sample.used) + " used", style: { height: height + "%" } }); })),
|
||||
h("div", { className: "ollama-loaded-memory" }, h("h4", null, "Loaded models and capabilities"), models.length ? models.map(function (model) { return h("div", { className: "ollama-loaded-row", key: model.name }, h("strong", null, model.name), h("span", null, "Total ", fmtBytes(model.total_bytes)), h("span", null, "GPU VRAM ", fmtBytes(model.gpu_bytes)), h("span", null, "Normal RAM ", fmtBytes(model.ram_bytes)), h("span", null, model.gpu_offload_percent + "% GPU offload"), h("span", { className: "ollama-loaded-capabilities" }, "Capabilities: ", (model.capabilities || []).join(", ") || "Unknown", " · Input: ", (model.input_modalities || []).join(", ") || "Text", " · ", model.parameter_size || "unknown", " · ", model.quantization || "unknown", " · Context ", model.context_length || "unknown"), h("span", { className: "ollama-permanent-label" }, model.permanent ? "Permanent keep-alive" : "Runtime-loaded")); }) : h("p", null, "No model is currently loaded. Use the model pool below to load one or more permanently."))
|
||||
h("div", { className: "ollama-memory-chart" + (loading.length ? " loading" : ""), role: loading.length ? "status" : undefined, "aria-live": loading.length ? "polite" : undefined }, loading.length ? h("div", { className: "ollama-loading-progress" }, h("strong", null, "Loading into Ollama memory"), h("span", null, loading.map(function (item) { return item.name; }).join(", ")), h("small", null, loading.map(function (item) { return item.stage + " · " + fmtElapsed(item.elapsed); }).join(" · ")), h("div", { className: "ollama-loading-track" }, h("span", null))) : (props.samples || []).map(function (sample, index) { var height = sample.total ? Math.max(3, Math.min(100, sample.used * 100 / sample.total)) : 3; return h("span", { key: index, title: fmtBytes(sample.used) + " used", style: { height: height + "%" } }); })),
|
||||
h("div", { className: "ollama-loaded-memory" }, h("h4", null, "Loaded models and capabilities"), models.length ? models.map(function (model) { return h("div", { className: "ollama-loaded-row", key: model.name }, h("strong", null, model.name), h("span", null, "Total ", fmtBytes(model.total_bytes)), h("span", null, "GPU VRAM ", fmtBytes(model.gpu_bytes)), h("span", null, "Normal RAM ", fmtBytes(model.ram_bytes)), h("span", null, model.gpu_offload_percent + "% GPU offload"), h("span", { className: "ollama-loaded-capabilities" }, "Capabilities: ", (model.capabilities || []).join(", ") || "Unknown", " · Input: ", (model.input_modalities || []).join(", ") || "Text", " · ", model.parameter_size || "unknown", " · ", model.quantization || "unknown", " · Context ", model.context_length || "unknown"), h("span", { className: "ollama-permanent-label" }, model.permanent ? "Permanent keep-alive" : "Runtime-loaded")); }) : loading.length ? h("p", null, "Ollama is loading the selected model. Resident memory will appear here when the runner finishes starting.") : h("p", null, "No model is currently loaded. Use the model pool below to load one or more permanently."))
|
||||
);
|
||||
}
|
||||
|
||||
|
||||
Vendored
+1
-1
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user