Instructions to use hhua2/V2Xum-LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hhua2/V2Xum-LLM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hhua2/V2Xum-LLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add model checkpoint folders
Browse files- clip/ViT-L-14.pt +3 -0
- llava-vicuna-v1-5-7b-stage1/config.json +31 -0
- llava-vicuna-v1-5-7b-stage1/mm_projector.bin +3 -0
- llava-vicuna-v1-5-7b-stage1/trainer_state.json +0 -0
- v2xumllm-vicuna-v1-5-7b-stage2-e2/README.md +9 -0
- v2xumllm-vicuna-v1-5-7b-stage2-e2/adapter_config.json +26 -0
- v2xumllm-vicuna-v1-5-7b-stage2-e2/adapter_model.bin +3 -0
- v2xumllm-vicuna-v1-5-7b-stage2-e2/config.json +28 -0
- v2xumllm-vicuna-v1-5-7b-stage2-e2/non_lora_trainables.bin +3 -0
- v2xumllm-vicuna-v1-5-7b-stage2-e2/trainer_state.json +961 -0
clip/ViT-L-14.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:b8cca3fd41ae0c99ba7e8951adf17d267cdb84cd88be6f7c2e0eca1737a03836
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| 3 |
+
size 932768134
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llava-vicuna-v1-5-7b-stage1/config.json
ADDED
|
@@ -0,0 +1,31 @@
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| 1 |
+
{
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| 2 |
+
"_name_or_path": "./data/vicuna-7b-v1.5",
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| 3 |
+
"architectures": [
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| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"bos_token_id": 1,
|
| 7 |
+
"eos_token_id": 2,
|
| 8 |
+
"freeze_mm_mlp_adapter": false,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 4096,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 11008,
|
| 13 |
+
"max_position_embeddings": 4096,
|
| 14 |
+
"mm_use_im_patch_token": false,
|
| 15 |
+
"mm_use_im_start_end": false,
|
| 16 |
+
"model_type": "V2XumLLM",
|
| 17 |
+
"num_attention_heads": 32,
|
| 18 |
+
"num_hidden_layers": 32,
|
| 19 |
+
"num_key_value_heads": 32,
|
| 20 |
+
"pad_token_id": 0,
|
| 21 |
+
"pretraining_tp": 1,
|
| 22 |
+
"rms_norm_eps": 1e-05,
|
| 23 |
+
"rope_scaling": null,
|
| 24 |
+
"tie_word_embeddings": false,
|
| 25 |
+
"torch_dtype": "float16",
|
| 26 |
+
"transformers_version": "4.31.0",
|
| 27 |
+
"tune_mm_mlp_adapter": true,
|
| 28 |
+
"use_cache": true,
|
| 29 |
+
"use_mm_proj": true,
|
| 30 |
+
"vocab_size": 32000
|
| 31 |
+
}
|
llava-vicuna-v1-5-7b-stage1/mm_projector.bin
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:043423537642223cc822233553f5227b03df5b111fd5f8bf19b68c3f8a54873b
|
| 3 |
+
size 6300731
|
llava-vicuna-v1-5-7b-stage1/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
v2xumllm-vicuna-v1-5-7b-stage2-e2/README.md
ADDED
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@@ -0,0 +1,9 @@
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| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
### Framework versions
|
| 7 |
+
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| 8 |
+
|
| 9 |
+
- PEFT 0.4.0
|
v2xumllm-vicuna-v1-5-7b-stage2-e2/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
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| 1 |
+
{
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| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 128,
|
| 11 |
+
"lora_dropout": 0.05,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 64,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"up_proj",
|
| 18 |
+
"k_proj",
|
| 19 |
+
"v_proj",
|
| 20 |
+
"gate_proj",
|
| 21 |
+
"o_proj",
|
| 22 |
+
"down_proj",
|
| 23 |
+
"q_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
v2xumllm-vicuna-v1-5-7b-stage2-e2/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:34657f67c9e078949cd381d90b19750c974ac41afe95130dc1152565f5ea4557
|
| 3 |
+
size 319971402
|
v2xumllm-vicuna-v1-5-7b-stage2-e2/config.json
ADDED
|
@@ -0,0 +1,28 @@
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| 1 |
+
{
|
| 2 |
+
"_name_or_path": "lmsys/vicuna-7b-v1.5",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"bos_token_id": 1,
|
| 7 |
+
"eos_token_id": 2,
|
| 8 |
+
"freeze_mm_mlp_adapter": true,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 4096,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 11008,
|
| 13 |
+
"max_position_embeddings": 4096,
|
| 14 |
+
"model_type": "V2XumLLM",
|
| 15 |
+
"num_attention_heads": 32,
|
| 16 |
+
"num_hidden_layers": 32,
|
| 17 |
+
"num_key_value_heads": 32,
|
| 18 |
+
"pad_token_id": 0,
|
| 19 |
+
"pretraining_tp": 1,
|
| 20 |
+
"rms_norm_eps": 1e-05,
|
| 21 |
+
"rope_scaling": null,
|
| 22 |
+
"tie_word_embeddings": false,
|
| 23 |
+
"torch_dtype": "float16",
|
| 24 |
+
"transformers_version": "4.31.0",
|
| 25 |
+
"tune_mm_mlp_adapter": false,
|
| 26 |
+
"use_cache": true,
|
| 27 |
+
"vocab_size": 32000
|
| 28 |
+
}
|
v2xumllm-vicuna-v1-5-7b-stage2-e2/non_lora_trainables.bin
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
|
| 3 |
+
size 912
|
v2xumllm-vicuna-v1-5-7b-stage2-e2/trainer_state.json
ADDED
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@@ -0,0 +1,961 @@
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