Upload LlavaForConditionalGeneration

README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

config.json

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+{
+  "_name_or_path": "unsloth/Pixtral-12B-2409",
+  "architectures": [
+    "LlavaForConditionalGeneration"
+  ],
+  "ignore_index": -100,
+  "image_seq_length": 1,
+  "image_token_index": 10,
+  "model_type": "llava",
+  "projector_hidden_act": "gelu",
+  "quantization_config": {
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+    "_load_in_8bit": false,
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_storage": "uint8",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": [
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+      "merger",
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+      "vision_tower.transformer.layers.0.attention",
+      "vision_tower.transformer.layers.1.feed_forward",
+      "vision_tower.transformer.layers.1.attention",
+      "vision_tower.transformer.layers.2.feed_forward",
+      "vision_tower.transformer.layers.2.attention",
+      "vision_tower.transformer.layers.3.feed_forward",
+      "vision_tower.transformer.layers.3.attention",
+      "vision_tower.transformer.layers.4.feed_forward",
+      "vision_tower.transformer.layers.4.attention",
+      "vision_tower.transformer.layers.5.feed_forward",
+      "vision_tower.transformer.layers.5.attention",
+      "vision_tower.transformer.layers.6.feed_forward",
+      "vision_tower.transformer.layers.6.attention",
+      "vision_tower.transformer.layers.7.feed_forward",
+      "vision_tower.transformer.layers.7.attention",
+      "vision_tower.transformer.layers.8.feed_forward",
+      "vision_tower.transformer.layers.8.attention",
+      "vision_tower.transformer.layers.9.feed_forward",
+      "vision_tower.transformer.layers.9.attention",
+      "vision_tower.transformer.layers.10.feed_forward",
+      "vision_tower.transformer.layers.10.attention",
+      "vision_tower.transformer.layers.11.feed_forward",
+      "vision_tower.transformer.layers.11.attention",
+      "vision_tower.transformer.layers.12.feed_forward",
+      "vision_tower.transformer.layers.12.attention",
+      "vision_tower.transformer.layers.13.feed_forward",
+      "vision_tower.transformer.layers.13.attention",
+      "vision_tower.transformer.layers.14.feed_forward",
+      "vision_tower.transformer.layers.14.attention",
+      "vision_tower.transformer.layers.15.feed_forward",
+      "vision_tower.transformer.layers.15.attention",
+      "vision_tower.transformer.layers.16.feed_forward",
+      "vision_tower.transformer.layers.16.attention",
+      "vision_tower.transformer.layers.17.feed_forward",
+      "vision_tower.transformer.layers.17.attention",
+      "vision_tower.transformer.layers.18.feed_forward",
+      "vision_tower.transformer.layers.18.attention",
+      "vision_tower.transformer.layers.19.feed_forward",
+      "vision_tower.transformer.layers.19.attention",
+      "vision_tower.transformer.layers.20.feed_forward",
+      "vision_tower.transformer.layers.20.attention",
+      "vision_tower.transformer.layers.21.feed_forward",
+      "vision_tower.transformer.layers.21.attention",
+      "vision_tower.transformer.layers.22.feed_forward",
+      "vision_tower.transformer.layers.22.attention",
+      "vision_tower.transformer.layers.23.feed_forward",
+      "vision_tower.transformer.layers.23.attention",
+      "multi_modal_projector",
+      "language_model.model.layers.39.self_attn.o_proj"
+    ],
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "text_config": {
+    "_attn_implementation_autoset": false,
+    "_name_or_path": "",
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+    "num_attention_heads": 32,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 40,
+    "num_key_value_heads": 8,
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+    "pruned_heads": {},
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+    "use_cache": true,
+    "vocab_size": 131072
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+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.3",
+  "unsloth_fixed": true,
+  "vision_config": {
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+    "_name_or_path": "",
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+    "hidden_act": "gelu",
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+    "id2label": {
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+      "1": "LABEL_1"
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+    "is_decoder": false,
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+  "vision_feature_select_strategy": "full"
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 11,
+  "transformers_version": "4.46.3"
+}

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