Update README for factual correctness

[Copilot]

The README's summary counts and Highlighted Models table had drifted from the current codebase. Numbers and model listings are now derived from the actual registry, diffusers class map, task classes, and component classes.

Counts line

Corrected the "Supports …" summary, measured from source rather than hardcoded:

Metric	Was	Now	Source
Transformers model types	130	290+	registry._map (294)
Diffusers component types	5	10	_DIFFUSERS_CLASS_MAP
Task types	14	40+	ModelTask subclasses in tasks.__all__ (41)
Reusable components	56+	100+	public nn.Module classes in components (103)

290+ matches the docs generator, which counts the same registry._map.

Highlighted Models table

• Text Generation — added Gemma 4; kept Qwen 3.6 (same as Qwen 3.5, so supported).
• Mixture of Experts — added Qwen3-Next, GLM-4-MoE.
• Multimodal — Gemma 3 → Gemma 3/4; removed unregistered Phi-3V; kept Qwen3.5/3.6-VL.
• Speech-to-Text — added FastConformer-RNNT, FunASR, Qwen3-ASR, SenseVoice.
• Diffusion — added HunyuanDiT, CogVideoX.

Unchanged

Python API signatures (build, CausalLMTask), CLI syntax, example paths, docs links, and skill references were verified against the code and left as-is.

[justinchuby]

@copilot Qwen 3.6 is the same as Qwen 3.5. So it is supported

[github-actions]

Performance Comparison

Comparing da92170 → 17dc82a

Model	Metric	Baseline	Current	Delta
bert (feature-extraction)	model_size_bytes	359 KB	359 KB	+0.0%	⚪
bert (feature-extraction)	num_nodes	60	60	+0.0%	⚪
falcon	model_size_bytes	364 KB	364 KB	+0.0%	⚪
falcon	num_nodes	68	68	+0.0%	⚪
gemma2	model_size_bytes	428 KB	428 KB	+0.0%	⚪
gemma2	num_nodes	107	107	+0.0%	⚪
gpt2	model_size_bytes	388 KB	388 KB	+0.0%	⚪
gpt2	num_nodes	54	54	+0.0%	⚪
llama	model_size_bytes	425 KB	425 KB	+0.0%	⚪
llama	num_nodes	62	62	+0.0%	⚪
llama (static-cache)	model_size_bytes	425 KB	425 KB	+0.0%	⚪
llama (static-cache)	num_nodes	58	58	+0.0%	⚪
mamba (ssm-text-generation)	model_size_bytes	296 KB	296 KB	+0.0%	⚪
mamba (ssm-text-generation)	num_nodes	98	98	+0.0%	⚪
phi3	model_size_bytes	421 KB	421 KB	+0.0%	⚪
phi3	num_nodes	60	60	+0.0%	⚪
phi3 (static-cache)	model_size_bytes	421 KB	421 KB	+0.0%	⚪
phi3 (static-cache)	num_nodes	56	56	+0.0%	⚪
qwen2	model_size_bytes	425 KB	425 KB	+0.0%	⚪
qwen2	num_nodes	62	62	+0.0%	⚪
qwen2 (static-cache)	model_size_bytes	425 KB	425 KB	+0.0%	⚪
qwen2 (static-cache)	num_nodes	58	58	+0.0%	⚪
qwen3_5_moe (hybrid-text-generation)	model_size_bytes	506 KB	506 KB	+0.0%	⚪
qwen3_5_moe (hybrid-text-generation)	num_nodes	275	275	+0.0%	⚪
qwen3_5_text (hybrid-text-generation)	model_size_bytes	458 KB	458 KB	+0.0%	⚪
qwen3_5_text (hybrid-text-generation)	num_nodes	129	129	+0.0%	⚪
qwen3_5_vl (hybrid-qwen-vl)	model_size_bytes	977 KB	977 KB	+0.0%	⚪
qwen3_5_vl (hybrid-qwen-vl)	num_nodes	413	413	+0.0%	⚪
t5 (seq2seq)	model_size_bytes	836 KB	836 KB	+0.0%	⚪
t5 (seq2seq)	num_nodes	166	166	+0.0%	⚪
whisper (speech-to-text)	model_size_bytes	1008 KB	1008 KB	+0.0%	⚪
whisper (speech-to-text)	num_nodes	128	128	+0.0%	⚪

No performance regressions.

[Copilot]

@copilot Qwen 3.6 is the same as Qwen 3.5. So it is supported

Restored Qwen 3.6 to the Text Generation (Qwen 2/2.5/3/3.5/3.6) and Multimodal (Qwen3.5/3.6-VL) rows in a2f8f0e.

@copilot Qwen 3.6 is the same as Qwen 3.5. So it is supported

Correction: the commit is 17dc82a.

[Copilot]

Pull request overview

Updates the README’s “Highlighted Models” examples and top-level support-count summary so they reflect the current registry/task/component coverage in the codebase rather than older hardcoded values.

Changes:

• Refreshed the “Highlighted Models” table entries (e.g., adds Gemma 4, Qwen3-Next, GLM-4-MoE; expands speech and diffusion examples).
• Updated the “Supports …” summary counts to the newer 290+/10/40+/100+ figures to match current project scale.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.

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