cstr / granite-speech-4.1-2b-plus-GGUF

huggingface.co
Total runs: 1.2K
24-hour runs: -20
7-day runs: -110
30-day runs: 42
Model's Last Updated: August 02 2026

Introduction of granite-speech-4.1-2b-plus-GGUF

Model Details of granite-speech-4.1-2b-plus-GGUF

granite-speech-4.1-2b-plus — GGUF

GGUF conversion of ibm-granite/granite-speech-4.1-2b-plus for use with CrispASR .

The PLUS variant adds two capabilities over the base 4.1-2b:

  • Punctuated and capitalised transcripts by default — no special prompt required.
  • Speaker labels and word-level timestamps in the model's structured output (full output parsing in CrispASR is the next step; raw text works today).

Architecturally PLUS is the base 4.1-2b plus a single change: the encoder's layer-3 hidden state is concatenated with the final layer output (config: cat_hidden_layers: [3] ), producing a 2048-dim projector input instead of 1024. The Q-Former cross-attention K/V projection weights are correspondingly (1024, 2048) .

Files
File Quantisation Size Notes
granite-speech-4.1-2b-plus-f16.gguf F16 ~5.6 GB Encoder + projector in F32, LLM weights in F16

Q4_K and Q4_K-f16enc variants will land once parity is validated.

Usage with CrispASR
# auto-download and transcribe
crispasr --backend granite-4.1-plus -m auto samples/audio.wav

# or with explicit path
crispasr --backend granite-4.1-plus \
  -m granite-speech-4.1-2b-plus-f16.gguf \
  samples/audio.wav

End-to-end example on the JFK 11s clip:

$ crispasr --backend granite-4.1-plus -m auto samples/jfk.wav
And so my fellow Americans, ask not what your country can do for
you, ask what you can do for your country.

(Note the punctuation + capitalisation that the base 4.1-2b only produces with an explicit --ask "transcribe with proper punctuation..." prompt.)

Architecture
Stage Description
Encoder 16-layer Macaron Conformer (1024 dim, 8 heads, 15-tap depthwise conv). Hidden state at layer 3 is captured and concatenated with the final layer output → 2048-dim projector input.
Projector 2-layer BLIP-2 Q-Former. Cross-attention K/V weights are (1024, 2048) to consume the wider concatenated encoder feature. 3 learned query tokens per 15-frame window.
LLM Granite 4.0-1B (40 layers, 2048 hidden, GQA 16/4, SwiGLU, RoPE θ=10000, μP multipliers).

Total ~2.2 B parameters. The "+" capability is encoded entirely in training — the architectural delta from base is just the layer concatenation.

Conversion
python models/convert-granite-speech-to-gguf.py \
  --input /path/to/granite-speech-4.1-2b-plus \
  --output granite-speech-4.1-2b-plus-f16.gguf

The same converter handles base / 4.1-2b / 4.1-2b-plus from a single script — variant detection happens via config.json keys ( cat_hidden_layers , encoder_hidden_size ).

Licence

Apache 2.0 — same as the original ibm-granite/granite-speech-4.1-2b-plus .

Runs of cstr granite-speech-4.1-2b-plus-GGUF on huggingface.co

1.2K
Total runs
-20
24-hour runs
-4
3-day runs
-110
7-day runs
42
30-day runs

More Information About granite-speech-4.1-2b-plus-GGUF huggingface.co Model

More granite-speech-4.1-2b-plus-GGUF license Visit here:

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granite-speech-4.1-2b-plus-GGUF install

granite-speech-4.1-2b-plus-GGUF is an open source model from GitHub that offers a free installation service, and any user can find granite-speech-4.1-2b-plus-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of granite-speech-4.1-2b-plus-GGUF install, users can directly use granite-speech-4.1-2b-plus-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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