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README.md CHANGED
@@ -1,13 +1,15 @@
1
  ---
2
  language:
3
  - en
4
- pipeline_tag: text-generation
 
5
  tags:
6
- - pretrained
 
 
7
  - TensorBlock
8
  - GGUF
9
- license: apache-2.0
10
- base_model: Qwen/Qwen2-7B
11
  ---
12
 
13
  <div style="width: auto; margin-left: auto; margin-right: auto">
@@ -21,12 +23,11 @@ base_model: Qwen/Qwen2-7B
21
  </div>
22
  </div>
23
 
24
- ## Qwen/Qwen2-7B - GGUF
25
 
26
- This repo contains GGUF format model files for [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B).
27
-
28
- The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
29
 
 
30
 
31
  <div style="text-align: left; margin: 20px 0;">
32
  <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
@@ -36,7 +37,6 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
36
 
37
  ## Prompt template
38
 
39
-
40
  ```
41
  <|im_start|>system
42
  {system_prompt}<|im_end|>
@@ -49,18 +49,18 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
49
 
50
  | Filename | Quant type | File Size | Description |
51
  | -------- | ---------- | --------- | ----------- |
52
- | [Qwen2-7B-Q2_K.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q2_K.gguf) | Q2_K | 2.809 GB | smallest, significant quality loss - not recommended for most purposes |
53
- | [Qwen2-7B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q3_K_S.gguf) | Q3_K_S | 3.253 GB | very small, high quality loss |
54
- | [Qwen2-7B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q3_K_M.gguf) | Q3_K_M | 3.547 GB | very small, high quality loss |
55
- | [Qwen2-7B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q3_K_L.gguf) | Q3_K_L | 3.808 GB | small, substantial quality loss |
56
- | [Qwen2-7B-Q4_0.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q4_0.gguf) | Q4_0 | 4.127 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
57
- | [Qwen2-7B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q4_K_S.gguf) | Q4_K_S | 4.152 GB | small, greater quality loss |
58
- | [Qwen2-7B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q4_K_M.gguf) | Q4_K_M | 4.361 GB | medium, balanced quality - recommended |
59
- | [Qwen2-7B-Q5_0.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q5_0.gguf) | Q5_0 | 4.950 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
60
- | [Qwen2-7B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q5_K_S.gguf) | Q5_K_S | 4.950 GB | large, low quality loss - recommended |
61
- | [Qwen2-7B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q5_K_M.gguf) | Q5_K_M | 5.071 GB | large, very low quality loss - recommended |
62
- | [Qwen2-7B-Q6_K.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q6_K.gguf) | Q6_K | 5.825 GB | very large, extremely low quality loss |
63
- | [Qwen2-7B-Q8_0.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q8_0.gguf) | Q8_0 | 7.542 GB | very large, extremely low quality loss - not recommended |
64
 
65
 
66
  ## Downloading instruction
 
1
  ---
2
  language:
3
  - en
4
+ library_name: transformers
5
+ license: apache-2.0
6
  tags:
7
+ - unsloth
8
+ - transformers
9
+ - qwen2
10
  - TensorBlock
11
  - GGUF
12
+ base_model: unsloth/Qwen2-7B
 
13
  ---
14
 
15
  <div style="width: auto; margin-left: auto; margin-right: auto">
 
23
  </div>
24
  </div>
25
 
26
+ ## unsloth/Qwen2-7B - GGUF
27
 
28
+ This repo contains GGUF format model files for [unsloth/Qwen2-7B](https://huggingface.co/unsloth/Qwen2-7B).
 
 
29
 
30
+ The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
31
 
32
  <div style="text-align: left; margin: 20px 0;">
33
  <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
 
37
 
38
  ## Prompt template
39
 
 
40
  ```
41
  <|im_start|>system
42
  {system_prompt}<|im_end|>
 
49
 
50
  | Filename | Quant type | File Size | Description |
51
  | -------- | ---------- | --------- | ----------- |
52
+ | [Qwen2-7B-Q2_K.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q2_K.gguf) | Q2_K | 3.016 GB | smallest, significant quality loss - not recommended for most purposes |
53
+ | [Qwen2-7B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q3_K_S.gguf) | Q3_K_S | 3.492 GB | very small, high quality loss |
54
+ | [Qwen2-7B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q3_K_M.gguf) | Q3_K_M | 3.808 GB | very small, high quality loss |
55
+ | [Qwen2-7B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q3_K_L.gguf) | Q3_K_L | 4.088 GB | small, substantial quality loss |
56
+ | [Qwen2-7B-Q4_0.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q4_0.gguf) | Q4_0 | 4.431 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
57
+ | [Qwen2-7B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q4_K_S.gguf) | Q4_K_S | 4.458 GB | small, greater quality loss |
58
+ | [Qwen2-7B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q4_K_M.gguf) | Q4_K_M | 4.683 GB | medium, balanced quality - recommended |
59
+ | [Qwen2-7B-Q5_0.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q5_0.gguf) | Q5_0 | 5.315 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
60
+ | [Qwen2-7B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q5_K_S.gguf) | Q5_K_S | 5.315 GB | large, low quality loss - recommended |
61
+ | [Qwen2-7B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q5_K_M.gguf) | Q5_K_M | 5.445 GB | large, very low quality loss - recommended |
62
+ | [Qwen2-7B-Q6_K.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q6_K.gguf) | Q6_K | 6.254 GB | very large, extremely low quality loss |
63
+ | [Qwen2-7B-Q8_0.gguf](https://huggingface.co/tensorblock/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q8_0.gguf) | Q8_0 | 8.099 GB | very large, extremely low quality loss - not recommended |
64
 
65
 
66
  ## Downloading instruction