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Gemma-3-1b-it-ov-sym-int4

OpenVINO
gemma3_text
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DatafoundryAI commited on
Commit
40b6a62
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1 Parent(s): b147772

Initial upload of OpenVINO quantized model (INT4)

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Files changed (16) hide show
  1. .gitattributes +1 -0
  2. added_tokens.json +3 -0
  3. config.json +36 -0
  4. generation_config.json +14 -0
  5. inference.py +22 -0
  6. openvino_detokenizer.bin +3 -0
  7. openvino_detokenizer.xml +301 -0
  8. openvino_model.bin +3 -0
  9. openvino_model.xml +0 -0
  10. openvino_tokenizer.bin +3 -0
  11. openvino_tokenizer.xml +823 -0
  12. requirements.txt +1 -0
  13. special_tokens_map.json +33 -0
  14. tokenizer.json +3 -0
  15. tokenizer.model +3 -0
  16. tokenizer_config.json +0 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
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+ {
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+ "<image_soft_token>": 262144
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+ }
config.json ADDED
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+ {
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+ "_attn_implementation_autoset": true,
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+ "architectures": [
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+ "Gemma3ForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "attn_logit_softcapping": null,
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+ "bos_token_id": 2,
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+ "cache_implementation": "hybrid",
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+ "eos_token_id": 106,
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+ "final_logit_softcapping": null,
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+ "head_dim": 256,
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+ "hidden_activation": "gelu_pytorch_tanh",
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+ "hidden_size": 1152,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 6912,
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+ "max_position_embeddings": 32768,
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+ "model_type": "gemma3_text",
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+ "num_attention_heads": 4,
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+ "num_hidden_layers": 26,
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+ "num_key_value_heads": 1,
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+ "pad_token_id": 0,
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+ "query_pre_attn_scalar": 256,
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+ "rms_norm_eps": 1e-06,
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+ "rope_local_base_freq": 10000,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000,
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+ "sliding_window": 512,
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+ "sliding_window_pattern": 6,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.51.3",
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+ "unsloth_fixed": true,
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+ "use_cache": true,
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+ "vocab_size": 262144
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+ }
generation_config.json ADDED
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+ {
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+ "bos_token_id": 2,
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+ "cache_implementation": "hybrid",
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+ "do_sample": true,
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+ "eos_token_id": [
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+ 1,
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+ 106
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+ ],
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+ "max_length": 32768,
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+ "pad_token_id": 0,
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+ "top_k": 64,
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+ "top_p": 0.95,
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+ "transformers_version": "4.51.3"
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+ }
inference.py ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Step 1: Install required package
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+ # !pip install openvino-genai
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+
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+ import openvino_genai as ov_genai
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+
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+ # Step 2: Define local model path
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+ model_path = "/home/anish/Desktop/Anish/Openvino/Gemma-3-1b-it-ov-sym-int4/"
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+
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+ # Step 3: Initialize pipeline
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+ device = "CPU" # or "GPU" if supported
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+ pipe = ov_genai.LLMPipeline(model_path, device)
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+
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+ # Step 4: Set chat template (important for Qwen)
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+ tokenizer = pipe.get_tokenizer()
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+ tokenizer.set_chat_template(tokenizer.chat_template)
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+
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+ # Step 5: Run inference
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+ prompt = "Capital of Australia ?"
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+ response = pipe.generate(prompt, max_length=1024, temperature=0.7, top_p=0.9)
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+
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+ print("\n🧾 Model Response:")
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+ print(response)
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+ </layers>
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+ <edges>
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+ <add_attention_mask value="True" />
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+ <add_prefix_space />
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+ <add_special_tokens value="True" />
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+ <bos_token_id value="2" />
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277
+ <clean_up_tokenization_spaces />
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+ <detokenizer_input_type value="i64" />
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+ <eos_token_id value="106" />
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+ <max_length />
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+ <number_of_inputs value="1" />
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+ <openvino_tokenizers_version value="2025.1.0.0-523-710ddf14de8" />
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+ <openvino_version value="2025.1.0-18503-6fec06580ab-releases/2025/1" />
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+ <original_post_processor_template value="{&quot;type&quot;: &quot;TemplateProcessing&quot;, &quot;single&quot;: [{&quot;SpecialToken&quot;: {&quot;id&quot;: &quot;&lt;bos>&quot;, &quot;type_id&quot;: 0}}, {&quot;Sequence&quot;: {&quot;id&quot;: &quot;A&quot;, &quot;type_id&quot;: 0}}], &quot;pair&quot;: [{&quot;SpecialToken&quot;: {&quot;id&quot;: &quot;&lt;bos>&quot;, &quot;type_id&quot;: 0}}, {&quot;Sequence&quot;: {&quot;id&quot;: &quot;A&quot;, &quot;type_id&quot;: 0}}, {&quot;SpecialToken&quot;: {&quot;id&quot;: &quot;&lt;bos>&quot;, &quot;type_id&quot;: 1}}, {&quot;Sequence&quot;: {&quot;id&quot;: &quot;B&quot;, &quot;type_id&quot;: 1}}], &quot;special_tokens&quot;: {&quot;&lt;bos>&quot;: {&quot;id&quot;: &quot;&lt;bos>&quot;, &quot;ids&quot;: [2], &quot;tokens&quot;: [&quot;&lt;bos>&quot;]}}}" />
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+ <original_tokenizer_class value="&lt;class 'transformers.models.gemma.tokenization_gemma_fast.GemmaTokenizerFast'>" />
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+ <pad_token_id value="0" />
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+ <sentencepiece_version value="0.2.0" />
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+ <skip_special_tokens value="True" />
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+ <streaming_detokenizer value="False" />
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+ <tiktoken_version value="0.9.0" />
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+ <tokenizer_output_type value="i64" />
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+ <tokenizers_version value="0.21.1" />
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+ <transformers_version value="4.51.3" />
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+ <use_max_padding value="False" />
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+ <use_sentencepiece_backend value="False" />
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+ <utf8_replace_mode value="replace" />
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+ <with_detokenizer value="True" />
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+ </rt_info>
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+ </net>
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