aoxo commited on
Commit
00c1c04
·
verified ·
1 Parent(s): 999f1bd

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -17
README.md CHANGED
@@ -3,21 +3,7 @@ license: apache-2.0
3
  pipeline_tag: image-text-to-text
4
  ---
5
 
6
- moondream is a small vision language model designed to run efficiently on edge devices. Check out the [GitHub repository](https://github.com/vikhyat/moondream) for details, or try it out on the [Hugging Face Space](https://huggingface.co/spaces/vikhyatk/moondream2)!
7
-
8
- **Benchmarks**
9
-
10
- | Release | VQAv2 | GQA | TextVQA | DocVQA | TallyQA<br>(simple/full) | POPE<br>(rand/pop/adv) |
11
- | --- | --- | --- | --- | --- | --- | --- |
12
- | **2024-08-26** (latest) | 80.3 | 64.3 | 65.2 | 70.5 | 82.6 / 77.6 | 89.6 / 88.8 / 87.2 |
13
- | 2024-07-23 | 79.4 | 64.9 | 60.2 | 61.9 | 82.0 / 76.8 | 91.3 / 89.7 / 86.9 |
14
- | 2024-05-20 | 79.4 | 63.1 | 57.2 | 30.5 | 82.1 / 76.6 | 91.5 / 89.6 / 86.2 |
15
- | 2024-05-08 | 79.0 | 62.7 | 53.1 | 30.5 | 81.6 / 76.1 | 90.6 / 88.3 / 85.0 |
16
- | 2024-04-02 | 77.7 | 61.7 | 49.7 | 24.3 | 80.1 / 74.2 | - |
17
- | 2024-03-13 | 76.8 | 60.6 | 46.4 | 22.2 | 79.6 / 73.3 | - |
18
- | 2024-03-06 | 75.4 | 59.8 | 43.1 | 20.9 | 79.5 / 73.2 | - |
19
- | 2024-03-04 | 74.2 | 58.5 | 36.4 | - | - | - |
20
-
21
 
22
  **Usage**
23
 
@@ -29,7 +15,7 @@ pip install transformers einops
29
  from transformers import AutoModelForCausalLM, AutoTokenizer
30
  from PIL import Image
31
 
32
- model_id = "vikhyatk/moondream2"
33
  revision = "2024-08-26"
34
  model = AutoModelForCausalLM.from_pretrained(
35
  model_id, trust_remote_code=True, revision=revision
@@ -42,4 +28,4 @@ print(model.answer_question(enc_image, "Describe this image.", tokenizer))
42
  ```
43
 
44
  The model is updated regularly, so we recommend pinning the model version to a
45
- specific release as shown above.
 
3
  pipeline_tag: image-text-to-text
4
  ---
5
 
6
+ moondream-eduport is a full-parameter finetuned version of moondream2, a small vision language model designed to run efficiently on edge devices.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7
 
8
  **Usage**
9
 
 
15
  from transformers import AutoModelForCausalLM, AutoTokenizer
16
  from PIL import Image
17
 
18
+ model_id = "aoxo/moondream-eduport"
19
  revision = "2024-08-26"
20
  model = AutoModelForCausalLM.from_pretrained(
21
  model_id, trust_remote_code=True, revision=revision
 
28
  ```
29
 
30
  The model is updated regularly, so we recommend pinning the model version to a
31
+ specific release as shown above.