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Co-authored-by: Madison Lee <kristunlee@users.noreply.huggingface.co>

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ language:
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+ - multilingual
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+ - en
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+ - fr
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+ - de
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+ - es
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+ - pt
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+ - ja
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+ base_model:
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+ - ibm-granite/granite-4.0-1b-base
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+ library_name: transformers
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+ ---
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+ # Granite-4.0-1b-speech
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+
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+ **Model Summary:**
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+ Granite-4.0-1b-speech is a compact and efficient speech-language model, specifically designed for multilingual automatic speech recognition (ASR) and bidirectional automatic speech translation (AST).
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+
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+ The model was trained on a collection of public corpora comprising of diverse datasets for ASR and AST as well as synthetic datasets tailored to support Japanese ASR, keyword-biased ASR and speech translation.
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+ Granite-4.0-1b-speech was trained by modality aligning [granite-4.0-1b-base](https://huggingface.co/ibm-granite/granite-4.0-1b-base) to speech on publicly available open source corpora containing audio inputs and text targets.
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+ Compared to [granite-speech-3.3-2b](https://huggingface.co/ibm-granite/granite-speech-3.3-2b) and [granite-speech-3.3-8b](https://huggingface.co/ibm-granite/granite-speech-3.3-8b), this model has the following additional capabilities and improvements:
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+ * Supports multilingual speech inputs in English, French, German, Spanish, Portuguese and Japanese,
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+ * Provides higher transcription accuracy for English ASR and faster inference through better encoder training and speculative decoding,
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+ * Has half the number of parameters of [granite-speech-3.3-2b](https://huggingface.co/ibm-granite/granite-speech-3.3-2b) for running on resource-constrained devices,
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+ * Adds keyword list biasing capability for enhanced name and acronym recognition
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+
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+ **Evaluations:**
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+
30
+ We evaluated granite-4.0-1b-speech alongside other speech-language models in the less than 8b parameter range as well as dedicated ASR and AST systems on standard benchmarks. The evaluation spanned multiple public benchmarks, with particular emphasis on English ASR tasks while also including multilingual ASR and AST for X-En and En-X translations.
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+ <br>
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+ ![granite-4.0-1b-speech-wer1-crop](https://cdn-uploads.huggingface.co/production/uploads/666ec38102791b3b49f453e8/KvRYoVoAWlMm0GrcdBWkR.png)
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+ <br>
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+ ![granite-4.0-1b-speech-wer2-crop](https://cdn-uploads.huggingface.co/production/uploads/666ec38102791b3b49f453e8/YHX5qS7_8NlhuAA2bQ5FL.png)
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+ <br>
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+ ![granite-4.0-1b-speech-bleu1-crop](https://cdn-uploads.huggingface.co/production/uploads/666ec38102791b3b49f453e8/HO3bmHqWXnMisIKPMAmSw.png)
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+ <br>
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+ ![granite-4.0-1b-speech-bleu2-crop](https://cdn-uploads.huggingface.co/production/uploads/666ec38102791b3b49f453e8/QTaXEl4PcygKiw_1zaYjO.png)
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+ <br>
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+
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+ **Release Date**: March 6, 2026
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+
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+ **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
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+
45
+ **Supported Languages:**
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+ English, French, German, Spanish, Portuguese, Japanese
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+
48
+ **Intended Use:**
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+ The model is intended to be used in enterprise applications that involve processing of speech inputs.
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+ In particular, the model is well-suited for English, French, German, Spanish, Portuguese and Japanese speech-to-text and speech translations
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+ to and from English for the same languages, plus English-to-Italian and English-to-Mandarin.
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+
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+ ## Generation:
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+
55
+ Granite Speech model is supported natively in `transformers` from the `main` branch. Below is a simple example of how to use the `granite-4.0-1b-speech` model.
56
+
57
+ ### Usage with `transformers`
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+
59
+ First, make sure to install a recent version of transformers:
60
+ ```shell
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+ pip install transformers torchaudio soundfile
62
+ ```
63
+
64
+ Then run the code:
65
+ ```python
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+ import torch
67
+ import torchaudio
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+ from huggingface_hub import hf_hub_download
69
+ from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor
70
+
71
+ device = "cuda" if torch.cuda.is_available() else "cpu"
72
+
73
+ model_name = "ibm-granite/granite-4.0-1b-speech"
74
+ processor = AutoProcessor.from_pretrained(model_name)
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+ tokenizer = processor.tokenizer
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+ model = AutoModelForSpeechSeq2Seq.from_pretrained(
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+ model_name, device_map=device, torch_dtype=torch.bfloat16
78
+ )
79
+
80
+ # Load audio
81
+ audio_path = hf_hub_download(repo_id=model_name, filename="multilingual_sample.wav")
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+ wav, sr = torchaudio.load(audio_path, normalize=True)
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+ assert wav.shape[0] == 1 and sr == 16000 # mono, 16kHz
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+
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+ # Create text prompt
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+ user_prompt = "<|audio|>can you transcribe the speech into a written format?"
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+ chat = [
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+ {"role": "user", "content": user_prompt},
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+ ]
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+ prompt = tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)
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+
92
+ # Run the processor + model
93
+ model_inputs = processor(prompt, wav, device=device, return_tensors="pt").to(device)
94
+ model_outputs = model.generate(
95
+ **model_inputs, max_new_tokens=200, do_sample=False, num_beams=1
96
+ )
97
+
98
+ # Transformers includes the input IDs in the response
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+ num_input_tokens = model_inputs["input_ids"].shape[-1]
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+ new_tokens = model_outputs[0, num_input_tokens:].unsqueeze(0)
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+ output_text = tokenizer.batch_decode(
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+ new_tokens, add_special_tokens=False, skip_special_tokens=True
103
+ )
104
+ print(f"STT output = {output_text[0]}")
105
+ ```
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+
107
+ ### Usage with `vLLM`
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+
109
+ First, make sure to install vLLM:
110
+ ```shell
111
+ pip install vllm
112
+ ```
113
+ * Code for offline mode:
114
+ ```python
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+ from transformers import AutoTokenizer
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+ from vllm import LLM, SamplingParams
117
+ from vllm.assets.audio import AudioAsset
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+
119
+ model_id = "ibm-granite/granite-4.0-1b-speech"
120
+ tokenizer = AutoTokenizer.from_pretrained(model_id)
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+
122
+ def get_prompt(question: str, has_audio: bool):
123
+ """Build the input prompt to send to vLLM."""
124
+ if has_audio:
125
+ question = f"<|audio|>{question}"
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+ chat = [
127
+ {
128
+ "role": "user",
129
+ "content": question
130
+ }
131
+ ]
132
+ return tokenizer.apply_chat_template(chat, tokenize=False)
133
+
134
+ model = LLM(
135
+ model=model_id,
136
+ max_model_len=2048, # This may be needed for lower resource devices.
137
+ limit_mm_per_prompt={"audio": 1},
138
+ )
139
+
140
+ question = "can you transcribe the speech into a written format?"
141
+ prompt_with_audio = get_prompt(
142
+ question=question,
143
+ has_audio=True,
144
+ )
145
+ audio = AudioAsset("mary_had_lamb").audio_and_sample_rate
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+
147
+ inputs = {
148
+ "prompt": prompt_with_audio,
149
+ "multi_modal_data": {
150
+ "audio": audio,
151
+ }
152
+ }
153
+
154
+ outputs = model.generate(
155
+ inputs,
156
+ sampling_params=SamplingParams(
157
+ temperature=0.2,
158
+ max_tokens=64,
159
+ ),
160
+ )
161
+ print(f"Audio Example - Question: {question}")
162
+ print(f"Generated text: {outputs[0].outputs[0].text}")
163
+ ```
164
+
165
+ * Code for online mode:
166
+ ```python
167
+ """
168
+ Launch the vLLM server with the following command:
169
+
170
+ vllm serve ibm-granite/granite-4.0-1b-speech \
171
+ --api-key token-abc123 \
172
+ --max-model-len 2048
173
+ """
174
+
175
+ import base64
176
+
177
+ import requests
178
+ from openai import OpenAI
179
+
180
+ from vllm.assets.audio import AudioAsset
181
+
182
+ # Modify OpenAI's API key and API base to use vLLM's API server.
183
+ openai_api_key = "token-abc123"
184
+ openai_api_base = "http://localhost:8000/v1"
185
+
186
+ client = OpenAI(
187
+ # defaults to os.environ.get("OPENAI_API_KEY")
188
+ api_key=openai_api_key,
189
+ base_url=openai_api_base,
190
+ )
191
+
192
+ model_name = "ibm-granite/granite-4.0-1b-speech"
193
+ # Any format supported by librosa is supported
194
+ audio_url = AudioAsset("mary_had_lamb").url
195
+
196
+ # Use base64 encoded audio in the payload
197
+ def encode_audio_base64_from_url(audio_url: str) -> str:
198
+ """Encode an audio retrieved from a remote url to base64 format."""
199
+ with requests.get(audio_url) as response:
200
+ response.raise_for_status()
201
+ result = base64.b64encode(response.content).decode("utf-8")
202
+ return result
203
+
204
+ audio_base64 = encode_audio_base64_from_url(audio_url=audio_url)
205
+
206
+ question = "can you transcribe the speech into a written format?"
207
+ chat_completion_with_audio = client.chat.completions.create(
208
+ messages=[{
209
+ "role": "user",
210
+ "content": [
211
+ {
212
+ "type": "text",
213
+ "text": question
214
+ },
215
+ {
216
+ "type": "audio_url",
217
+ "audio_url": {
218
+ # Any format supported by librosa is supported
219
+ "url": f"data:audio/ogg;base64,{audio_base64}"
220
+ },
221
+ },
222
+ ],
223
+ }],
224
+ temperature=0.2,
225
+ max_tokens=64,
226
+ model=model_name,
227
+ )
228
+
229
+
230
+ print(f"Audio Example - Question: {question}")
231
+ print(f"Generated text: {chat_completion_with_audio.choices[0].message.content}")
232
+ ```
233
+
234
+ **Model Architecture:**
235
+
236
+ The architecture of granite-4.0-1b-speech consists of the following components:
237
+
238
+ (1) Speech encoder: 16 conformer blocks trained with Connectionist Temporal Classification (CTC) on character-level targets on the subset containing
239
+ only ASR corpora (see configuration below). The character vocabulary consists of the first 256 ASCII entries for the European languages plus a 92 phonetic Katakana character set for Japanese. In addition, our CTC encoder uses block-attention with 4-seconds audio blocks and self-conditioned CTC
240
+ from the middle layer.
241
+
242
+ | Configuration parameter | Value |
243
+ |-----------------|----------------------|
244
+ | Input dimension | 160 (80 logmels x 2) |
245
+ | Nb. of layers | 16 |
246
+ | Hidden dimension | 1024 |
247
+ | Nb. of attention heads | 8 |
248
+ | Attention head size | 128 |
249
+ | Convolution kernel size | 15 |
250
+ | Output dimension | 348 |
251
+
252
+ (2) Speech projector and temporal downsampler (speech-text modality adapter): we use a 2-layer window query transformer (q-former) operating on
253
+ blocks of 15 1024-dimensional acoustic embeddings coming out of the last conformer block of the speech encoder that get downsampled by a factor of 5
254
+ using 3 trainable queries per block and per layer. The total temporal downsampling factor is 10 (2x from the encoder and 5x from the projector)
255
+ resulting in a 10Hz acoustic embeddings rate for the LLM. The encoder, projector and LoRA adapters were fine-tuned/trained jointly on all the
256
+ corpora mentioned under **Training Data**.
257
+
258
+ (3) Large language model: granite-4.0-1b-base with 128k context length (https://huggingface.co/ibm-granite/granite-4.0-1b-base) finetuned on all
259
+ the corpora mentioned under **Training Data**.
260
+
261
+ **Training Data:**
262
+
263
+ Overall, our training data is largely comprised of two key sources: (1) publicly available datasets (2) Synthetic data created from publicly
264
+ available datasets specifically targeting Japanese ASR, keyword list-prompted ASR and the speech translation task.
265
+ A detailed description of the training datasets can be found in the table below:
266
+
267
+ | Name | Task | Nb. hours | Source |
268
+ |-----------|--------------|----------------|--------------|
269
+ | CommonVoice-17 En,De,Es,Fr,Pt,Ja | ASR | 5700 | https://huggingface.co/datasets/mozilla-foundation/common_voice_17_0 |
270
+ | MLS En,De,Es,Fr,Pt | ASR | 48000 | https://huggingface.co/datasets/facebook/multilingual_librispeech |
271
+ | Librispeech English | ASR | 1000 | https://huggingface.co/datasets/openslr/librispeech_asr |
272
+ | VoxPopuli En,De,Fr,Es | ASR | 1100 | https://huggingface.co/datasets/facebook/voxpopuli |
273
+ | AMI English | ASR | 100 | https://huggingface.co/datasets/edinburghcstr/ami |
274
+ | YODAS English | ASR | 10000 | https://huggingface.co/datasets/espnet/yodas |
275
+ | YODAS Japanese | ASR | 1400 | https://huggingface.co/datasets/espnet/yodas |
276
+ | Earnings-22 English | ASR | 105 | https://huggingface.co/datasets/esb/datasets |
277
+ | Switchboard English | ASR | 260 | https://catalog.ldc.upenn.edu/LDC97S62 |
278
+ | CallHome English | ASR | 18 | https://catalog.ldc.upenn.edu/LDC97T14 |
279
+ | Fisher English | ASR | 2000 | https://catalog.ldc.upenn.edu/LDC2004S13 |
280
+ | Voicemail part I English | ASR | 40 | https://catalog.ldc.upenn.edu/LDC98S77 |
281
+ | Voicemail part II English | ASR | 40 | https://catalog.ldc.upenn.edu/LDC2002S35 |
282
+ | ReazonSpeech | ASR | 3000 | https://huggingface.co/datasets/reazon-research/reazonspeech |
283
+ | Fineweb-2 TTS Japanese | ASR | 9600 | https://huggingface.co/datasets/HuggingFaceFW/fineweb-2 and Kokoro-82M TTS |
284
+ | CommonVoice-17 De,Es,Fr,Pt->En | AST | 3000 | Translations with Granite-3 and Phi-4 |
285
+ | CommonVoice-17 En->De,Es,Fr,It,Ja,Pt,Zh | AST | 18000 | Translations with Phi-4 and MADLAD |
286
+
287
+ **Infrastructure:**
288
+ We train Granite Speech using IBM's super computing cluster, Blue Vela, which is outfitted with NVIDIA H100 GPUs. This cluster provides a scalable
289
+ and efficient infrastructure for training our models over thousands of GPUs. The training of this particular model was completed in 30 days (26 encoder + 4 projector) on 8
290
+ H100 GPUs.
291
+
292
+ **Ethical Considerations and Limitations:**
293
+
294
+ The use of Large Speech and Language Models can trigger certain risks and ethical considerations. Although our alignment processes include safety considerations,
295
+ the model may in some cases produce inaccurate, biased, offensive or unwanted responses to user prompts. Additionally, whether smaller models may exhibit increased
296
+ susceptibility to hallucination in generation scenarios due to their reduced sizes, which could limit their ability to generate coherent and contextually accurate responses, remains uncertain.
297
+ This aspect is currently an active area of research, and we anticipate more rigorous exploration, comprehension, and mitigations in this domain.
298
+
299
+ IBM recommends using this model for automatic speech recognition and translation tasks. The model's design improves safety by limiting how audio inputs can influence the system.
300
+ If an unfamiliar or malformed prompt is received, the model simply ignores it and performs transcription which is the default fallback mode.
301
+ This minimizes the risk of adversarial inputs, unlike integrated models that directly interpret audio and may be more exposed to such attacks. Note that more general speech tasks may pose higher inherent risks of triggering unwanted outputs.
302
+
303
+ To enhance safety, we recommend using granite-4.0-1b-speech alongside Granite Guardian. Granite Guardian is a fine-tuned instruct model designed to detect and flag risks in prompts and responses across key dimensions outlined in the IBM AI Risk Atlas.
304
+
305
+ **Resources**
306
+ - 📄 Read the technical report: https://arxiv.org/abs/2505.08699
307
+ - 🔧 Notebook: [Finetune on custom data](https://github.com/ibm-granite/granite-speech-models/blob/main/notebooks/fine_tuning_granite_speech.ipynb)
308
+ - ⭐️ Learn about the latest updates with Granite: https://www.ibm.com/granite
309
+ - 🚀 Get started with tutorials, best practices, and prompt engineering advice: https://www.ibm.com/granite/docs/
310
+ - 💡 Learn about the latest Granite learning resources: https://ibm.biz/granite-learning-resources
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ {
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+ "<|audio|>": 100352
3
+ }
chat_template.jinja ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ {% for message in messages %}{% if message['role'] == 'user' %}USER: {{ message['content'] }}
2
+ ASSISTANT:{% elif message['role'] == 'assistant' %}{{ message['content'] }}{% endif %}{% endfor %}
config.json ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "architectures": [
3
+ "GraniteSpeechForConditionalGeneration"
4
+ ],
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+ "audio_token_index": 100352,
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+ "downsample_rate": 5,
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+ "encoder_config": {
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+ "context_size": 200,
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+ "conv_expansion_factor": 2,
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+ "conv_kernel_size": 15,
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+ "dim_head": 128,
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+ "dropout": 0.1,
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+ "feedforward_mult": 4,
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+ "hidden_dim": 1024,
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+ "input_dim": 160,
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+ "max_pos_emb": 512,
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+ "model_type": "granite_speech_encoder",
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+ "num_heads": 8,
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+ "num_layers": 16,
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+ "output_dim": 348,
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+ "torch_dtype": "bfloat16"
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+ },
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+ "has_lora_adapter": false,
24
+ "initializer_range": 0.02,
25
+ "model_type": "granite_speech",
26
+ "projector_config": {
27
+ "_attn_implementation_autoset": true,
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+ "attention_probs_dropout_prob": 0.1,
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+ "cross_attention_frequency": 1,
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+ "encoder_hidden_size": 1024,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
33
+ "hidden_size": 1024,
34
+ "initializer_range": 0.02,
35
+ "intermediate_size": 4096,
36
+ "layer_norm_eps": 1e-12,
37
+ "max_position_embeddings": 2048,
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+ "model_type": "blip_2_qformer",
39
+ "num_attention_heads": 16,
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+ "num_hidden_layers": 2,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "bfloat16",
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+ "use_qformer_text_input": false,
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+ "vocab_size": 30522
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+ },
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+ "text_config": {
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+ "_name_or_path": "/proj/speech/saon/slam-llm/29.2-c/granite-4.0-1b-base",
48
+ "architectures": [
49
+ "GraniteForCausalLM"
50
+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "attention_multiplier": 0.0078125,
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+ "bos_token_id": 100257,
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+ "dtype": "float32",
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+ "embedding_multiplier": 12,
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+ "eos_token_id": 100257,
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+ "content": "<|unused_65|>",
631
+ "lstrip": false,
632
+ "normalized": false,
633
+ "rstrip": false,
634
+ "single_word": false,
635
+ "special": true
636
+ },
637
+ "100335": {
638
+ "content": "<|unused_66|>",
639
+ "lstrip": false,
640
+ "normalized": false,
641
+ "rstrip": false,
642
+ "single_word": false,
643
+ "special": true
644
+ },
645
+ "100336": {
646
+ "content": "<|unused_67|>",
647
+ "lstrip": false,
648
+ "normalized": false,
649
+ "rstrip": false,
650
+ "single_word": false,
651
+ "special": true
652
+ },
653
+ "100337": {
654
+ "content": "<|unused_68|>",
655
+ "lstrip": false,
656
+ "normalized": false,
657
+ "rstrip": false,
658
+ "single_word": false,
659
+ "special": true
660
+ },
661
+ "100338": {
662
+ "content": "<|unused_69|>",
663
+ "lstrip": false,
664
+ "normalized": false,
665
+ "rstrip": false,
666
+ "single_word": false,
667
+ "special": true
668
+ },
669
+ "100339": {
670
+ "content": "<|unused_70|>",
671
+ "lstrip": false,
672
+ "normalized": false,
673
+ "rstrip": false,
674
+ "single_word": false,
675
+ "special": true
676
+ },
677
+ "100340": {
678
+ "content": "<|unused_71|>",
679
+ "lstrip": false,
680
+ "normalized": false,
681
+ "rstrip": false,
682
+ "single_word": false,
683
+ "special": true
684
+ },
685
+ "100341": {
686
+ "content": "<|unused_72|>",
687
+ "lstrip": false,
688
+ "normalized": false,
689
+ "rstrip": false,
690
+ "single_word": false,
691
+ "special": true
692
+ },
693
+ "100342": {
694
+ "content": "<|unused_73|>",
695
+ "lstrip": false,
696
+ "normalized": false,
697
+ "rstrip": false,
698
+ "single_word": false,
699
+ "special": true
700
+ },
701
+ "100343": {
702
+ "content": "<|unused_74|>",
703
+ "lstrip": false,
704
+ "normalized": false,
705
+ "rstrip": false,
706
+ "single_word": false,
707
+ "special": true
708
+ },
709
+ "100344": {
710
+ "content": "<|unused_75|>",
711
+ "lstrip": false,
712
+ "normalized": false,
713
+ "rstrip": false,
714
+ "single_word": false,
715
+ "special": true
716
+ },
717
+ "100345": {
718
+ "content": "<|unused_76|>",
719
+ "lstrip": false,
720
+ "normalized": false,
721
+ "rstrip": false,
722
+ "single_word": false,
723
+ "special": true
724
+ },
725
+ "100346": {
726
+ "content": "<|unused_77|>",
727
+ "lstrip": false,
728
+ "normalized": false,
729
+ "rstrip": false,
730
+ "single_word": false,
731
+ "special": true
732
+ },
733
+ "100347": {
734
+ "content": "<|unused_78|>",
735
+ "lstrip": false,
736
+ "normalized": false,
737
+ "rstrip": false,
738
+ "single_word": false,
739
+ "special": true
740
+ },
741
+ "100348": {
742
+ "content": "<|unused_79|>",
743
+ "lstrip": false,
744
+ "normalized": false,
745
+ "rstrip": false,
746
+ "single_word": false,
747
+ "special": true
748
+ },
749
+ "100349": {
750
+ "content": "<|unused_80|>",
751
+ "lstrip": false,
752
+ "normalized": false,
753
+ "rstrip": false,
754
+ "single_word": false,
755
+ "special": true
756
+ },
757
+ "100350": {
758
+ "content": "<|unused_81|>",
759
+ "lstrip": false,
760
+ "normalized": false,
761
+ "rstrip": false,
762
+ "single_word": false,
763
+ "special": true
764
+ },
765
+ "100351": {
766
+ "content": "<|unused_82|>",
767
+ "lstrip": false,
768
+ "normalized": false,
769
+ "rstrip": false,
770
+ "single_word": false,
771
+ "special": true
772
+ },
773
+ "100352": {
774
+ "content": "<|audio|>",
775
+ "lstrip": false,
776
+ "normalized": false,
777
+ "rstrip": false,
778
+ "single_word": false,
779
+ "special": true
780
+ }
781
+ },
782
+ "bos_token": "<|end_of_text|>",
783
+ "clean_up_tokenization_spaces": false,
784
+ "eos_token": "<|end_of_text|>",
785
+ "extra_special_tokens": {},
786
+ "model_max_length": 1000000000000000019884624838656,
787
+ "pad_token": "<|pad|>",
788
+ "padding_side": "left",
789
+ "processor_class": "GraniteSpeechProcessor",
790
+ "tokenizer_class": "GPT2Tokenizer",
791
+ "unk_token": "<|unk|>"
792
+ }
vocab.json ADDED
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