initial snapshot
Browse files- README.md +31 -0
- chat_template.jinja +40 -0
- config.json +82 -0
- generation_config.json +10 -0
- model.safetensors +3 -0
- processor_config.json +50 -0
- tokenizer.json +0 -0
- tokenizer_config.json +22 -0
README.md
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---
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license: apache-2.0
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tags:
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- test
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- fixture
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---
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# nano-gv
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Random-init ~16 MB CI fixture for the [sendnn-inference](https://github.com/torch-spyre/sendnn-inference)
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plugin's async multimodal-encoder tests. Generated by `tools/build_nano_gv.py`
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from [`ibm-granite/granite-vision-3.2-2b`](https://huggingface.co/ibm-granite/granite-vision-3.2-2b)'s config.
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**Not a functional model — outputs are meaningless.** Do not use for
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inference. The architecture identifiers (`LlavaNextForConditionalGeneration`
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+ granite text + siglip vision) match the source, but every dim is
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shrunk to the minimum that still exercises the plugin's MM code paths:
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| component | source | nano |
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|-----------|------------------|---------------------|
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| text hidden | 2048 | 128 |
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| text layers | 40 | 2 |
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| text heads | 32 | 2 |
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| text head_dim | 64 | 128 (plugin req) |
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| vision hidden | 1152 | 64 |
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| vision layers | 27 | 4 |
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| image size | 384 | 112 |
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The tokenizer + processor are copied from the source verbatim (with
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image-size fields rescaled to 112) so `image_token_index` and the chat
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template stay valid.
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chat_template.jinja
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{%- if tools %}
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{{- '<|start_of_role|>available_tools<|end_of_role|>
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' }}
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{%- for tool in tools %}
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{{- tool | tojson(indent=4) }}
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{%- if not loop.last %}
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{{- '
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' }}
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{%- endif %}
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{%- endfor %}
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{{- '<|end_of_text|>
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' }}
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{%- endif %}
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{%- for message in messages if message['role'] == 'system'%}{% else %}<|system|>
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A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
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{% endfor %}{%- for message in messages %}
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{%- if message['role'] == 'system' %}
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{{- '<|system|>
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' + message['content'][0]['text'] + '
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' }}
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{%- elif message['role'] == 'user' %}<|user|>
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{# Render all images first #}{% for content in message['content'] | selectattr('type', 'equalto', 'image') %}{{ '<image>
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' }}{% endfor %}{# Render all text next #}{% for content in message['content'] | selectattr('type', 'equalto', 'text') %}{{ content['text'] + '
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' }}{% endfor %}
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{%- elif message['role'] == 'assistant' %}
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{{- '<|assistant|>
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' + message['content'][0]['text'] + '<|end_of_text|>' }}
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{%- elif message['role'] == 'assistant_tool_call' %}
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{{- '<|start_of_role|>assistant<|end_of_role|><|tool_call|>' + message['content'][0]['text'] + '<|end_of_text|>
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' }}
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{%- elif message['role'] == 'tool_response' %}
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{{- '<|start_of_role|>tool_response<|end_of_role|>' + message['content'][0]['text'] + '<|end_of_text|>
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' }}
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{%- endif %}
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{%- if loop.last and add_generation_prompt %}
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{{- '<|assistant|>
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' }}
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{%- endif %}
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{%- endfor %}
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config.json
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{
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"architectures": [
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"LlavaNextForConditionalGeneration"
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],
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"dtype": "bfloat16",
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"image_grid_pinpoints": [
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[
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112,
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112
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],
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[
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112,
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224
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],
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[
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224,
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112
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]
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],
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"image_seq_length": 576,
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"image_token_index": 49155,
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"model_type": "llava_next",
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"multimodal_projector_bias": true,
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"projector_hidden_act": "gelu",
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"text_config": {
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"architectures": [
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"GraniteForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.1,
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"attention_multiplier": 0.015625,
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"bos_token_id": 0,
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"dtype": "bfloat16",
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"embedding_multiplier": 12.0,
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"eos_token_id": 0,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 128,
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"initializer_range": 0.02,
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"intermediate_size": 128,
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"logits_scaling": 8.0,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "granite",
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"num_attention_heads": 2,
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"num_hidden_layers": 2,
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"num_key_value_heads": 2,
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"pad_token_id": 0,
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"residual_multiplier": 0.22,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"rope_theta": 300000,
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"rope_type": "default"
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},
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"tie_word_embeddings": true,
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"use_cache": true,
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"vocab_size": 49156
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},
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"tie_word_embeddings": true,
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"transformers_version": "5.8.1",
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"use_image_newline_parameter": true,
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"vision_config": {
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"attention_dropout": 0.0,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 64,
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"image_size": 112,
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"intermediate_size": 128,
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"layer_norm_eps": 1e-06,
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"model_type": "siglip_vision_model",
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"num_attention_heads": 4,
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"num_channels": 3,
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"num_hidden_layers": 4,
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"patch_size": 14
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},
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"vision_feature_layer": [
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-4,
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-3,
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-2,
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-1
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],
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"vision_feature_select_strategy": "full"
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"output_attentions": false,
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"output_hidden_states": false,
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"pad_token_id": 0,
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"transformers_version": "5.8.1",
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"use_cache": true
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:736d1d4ff4f960d1c876502fce575b1d950ec1bc6e28dd36fc9ae6eecfbedd80
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size 13835872
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processor_config.json
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{
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"image_processor": {
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"crop_size": {
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"height": 112,
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"width": 112
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},
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| 7 |
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"do_center_crop": true,
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| 8 |
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"do_convert_rgb": null,
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| 9 |
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"do_normalize": true,
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| 10 |
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"do_pad": true,
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| 11 |
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"do_rescale": true,
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| 12 |
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"do_resize": true,
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| 13 |
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"image_grid_pinpoints": [
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[
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112,
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+
112
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],
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[
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112,
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+
224
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],
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[
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224,
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+
112
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]
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],
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| 27 |
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"image_mean": [
|
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0.5,
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| 29 |
+
0.5,
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+
0.5
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| 31 |
+
],
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| 32 |
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"image_processor_type": "LlavaNextImageProcessor",
|
| 33 |
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"image_std": [
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| 34 |
+
0.5,
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| 35 |
+
0.5,
|
| 36 |
+
0.5
|
| 37 |
+
],
|
| 38 |
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"resample": 3,
|
| 39 |
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"rescale_factor": 0.00392156862745098,
|
| 40 |
+
"size": {
|
| 41 |
+
"height": 112,
|
| 42 |
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"width": 112
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| 43 |
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}
|
| 44 |
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},
|
| 45 |
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"image_token": "<image>",
|
| 46 |
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"num_additional_image_tokens": 0,
|
| 47 |
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"patch_size": 14,
|
| 48 |
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"processor_class": "LlavaNextProcessor",
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| 49 |
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"vision_feature_select_strategy": "full"
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| 50 |
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}
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tokenizer.json
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tokenizer_config.json
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{
|
| 2 |
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"add_prefix_space": false,
|
| 3 |
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"backend": "tokenizers",
|
| 4 |
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"bos_token": "<|end_of_text|>",
|
| 5 |
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"clean_up_tokenization_spaces": true,
|
| 6 |
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"eos_token": "<|end_of_text|>",
|
| 7 |
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"errors": "replace",
|
| 8 |
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"extra_special_tokens": [
|
| 9 |
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"<|start_of_role|>",
|
| 10 |
+
"<|end_of_role|>",
|
| 11 |
+
"<|tool_call|>"
|
| 12 |
+
],
|
| 13 |
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"is_local": false,
|
| 14 |
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"local_files_only": false,
|
| 15 |
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"model_max_length": 131072,
|
| 16 |
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"pad_token": "<|end_of_text|>",
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| 17 |
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"padding_side": "right",
|
| 18 |
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"processor_class": "LlavaNextProcessor",
|
| 19 |
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"tokenizer_class": "TokenizersBackend",
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| 20 |
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"unk_token": "<|end_of_text|>",
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| 21 |
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"vocab_size": 49152
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| 22 |
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}
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