Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: state-spaces/mamba2-1.3b
+tags:
+- generated_from_trainer
+model-index:
+- name: video-ma2mba-1.8b-clip
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# video-ma2mba-1.8b-clip
+
+This model is a fine-tuned version of [state-spaces/mamba2-1.3b](https://huggingface.co/state-spaces/mamba2-1.3b) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 4e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.2
+- num_epochs: 2.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "state-spaces/mamba2-1.3b",
+  "add_faster_video": false,
+  "add_time_instruction": false,
+  "architectures": [
+    "LlavaMambaForCausalLM"
+  ],
+  "attn_cfg": {},
+  "attn_layer_idx": [],
+  "d_intermediate": 0,
+  "d_model": 2048,
+  "faster_token_stride": 10,
+  "force_sample": false,
+  "fused_add_norm": true,
+  "image_aspect_ratio": "square",
+  "image_crop_resolution": null,
+  "image_grid_pinpoints": null,
+  "image_split_resolution": null,
+  "label_top_k": 5,
+  "mm_hidden_size": 1024,
+  "mm_newline_position": "grid",
+  "mm_patch_merge_type": "flat",
+  "mm_projector_lr": null,
+  "mm_projector_type": "mlp2x_gelu",
+  "mm_spatial_pool_mode": "bilinear",
+  "mm_spatial_pool_stride": null,
+  "mm_tunable_parts": "mm_vision_tower,mm_mlp_adapter,mm_language_model",
+  "mm_use_im_patch_token": false,
+  "mm_use_im_start_end": false,
+  "mm_vision_select_feature": "patch",
+  "mm_vision_select_layer": -2,
+  "mm_vision_tower": "openai/clip-vit-large-patch14",
+  "mm_vision_tower_lr": 4e-06,
+  "model_type": "llava_mamba",
+  "n_layer": 48,
+  "pad_vocab_size_multiple": 16,
+  "pos_skipping_range": 4096,
+  "residual_in_fp32": true,
+  "rms_norm": true,
+  "ssm_cfg": {
+    "layer": "Mamba2"
+  },
+  "tie_embeddings": true,
+  "tokenizer_model_max_length": 1048576,
+  "tokenizer_padding_side": "right",
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "use_mm_proj": true,
+  "use_pos_skipping": false,
+  "vision_tower_pretrained": null,
+  "vocab_size": 50277
+}

model.safetensors

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special_tokens_map.json

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tokenizer_config.json

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+}

training_args.bin

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