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  1. Mistral-Nemo-Instruct-2407-Q2_K.gguf +2 -2
  2. Mistral-Nemo-Instruct-2407-Q3_K_L.gguf +2 -2
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  12. Mistral-Nemo-Instruct-2407-Q8_0.gguf +2 -2
  13. README.md +25 -21
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README.md CHANGED
@@ -1,15 +1,21 @@
1
  ---
2
  language:
3
  - en
4
- library_name: transformers
 
 
 
 
 
 
 
5
  license: apache-2.0
 
 
 
6
  tags:
7
- - mistral
8
- - unsloth
9
- - transformers
10
  - TensorBlock
11
  - GGUF
12
- base_model: unsloth/Mistral-Nemo-Instruct-2407
13
  ---
14
 
15
  <div style="width: auto; margin-left: auto; margin-right: auto">
@@ -23,13 +29,12 @@ base_model: unsloth/Mistral-Nemo-Instruct-2407
23
  </div>
24
  </div>
25
 
26
- ## unsloth/Mistral-Nemo-Instruct-2407 - GGUF
27
 
28
- This repo contains GGUF format model files for [unsloth/Mistral-Nemo-Instruct-2407](https://huggingface.co/unsloth/Mistral-Nemo-Instruct-2407).
29
 
30
  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).
31
 
32
-
33
  <div style="text-align: left; margin: 20px 0;">
34
  <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;">
35
  Run them on the TensorBlock client using your local machine ↗
@@ -38,7 +43,6 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
38
 
39
  ## Prompt template
40
 
41
-
42
  ```
43
  <s>[INST]{system_prompt}
44
 
@@ -49,18 +53,18 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
49
 
50
  | Filename | Quant type | File Size | Description |
51
  | -------- | ---------- | --------- | ----------- |
52
- | [Mistral-Nemo-Instruct-2407-Q2_K.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q2_K.gguf) | Q2_K | 4.462 GB | smallest, significant quality loss - not recommended for most purposes |
53
- | [Mistral-Nemo-Instruct-2407-Q3_K_S.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_S.gguf) | Q3_K_S | 5.154 GB | very small, high quality loss |
54
- | [Mistral-Nemo-Instruct-2407-Q3_K_M.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_M.gguf) | Q3_K_M | 5.665 GB | very small, high quality loss |
55
- | [Mistral-Nemo-Instruct-2407-Q3_K_L.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_L.gguf) | Q3_K_L | 6.111 GB | small, substantial quality loss |
56
- | [Mistral-Nemo-Instruct-2407-Q4_0.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_0.gguf) | Q4_0 | 6.586 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
57
- | [Mistral-Nemo-Instruct-2407-Q4_K_S.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_K_S.gguf) | Q4_K_S | 6.631 GB | small, greater quality loss |
58
- | [Mistral-Nemo-Instruct-2407-Q4_K_M.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_K_M.gguf) | Q4_K_M | 6.964 GB | medium, balanced quality - recommended |
59
- | [Mistral-Nemo-Instruct-2407-Q5_0.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q5_0.gguf) | Q5_0 | 7.934 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
60
- | [Mistral-Nemo-Instruct-2407-Q5_K_S.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q5_K_S.gguf) | Q5_K_S | 7.934 GB | large, low quality loss - recommended |
61
- | [Mistral-Nemo-Instruct-2407-Q5_K_M.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q5_K_M.gguf) | Q5_K_M | 8.128 GB | large, very low quality loss - recommended |
62
- | [Mistral-Nemo-Instruct-2407-Q6_K.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q6_K.gguf) | Q6_K | 9.366 GB | very large, extremely low quality loss |
63
- | [Mistral-Nemo-Instruct-2407-Q8_0.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q8_0.gguf) | Q8_0 | 12.128 GB | very large, extremely low quality loss - not recommended |
64
 
65
 
66
  ## Downloading instruction
 
1
  ---
2
  language:
3
  - en
4
+ - fr
5
+ - de
6
+ - es
7
+ - it
8
+ - pt
9
+ - ru
10
+ - zh
11
+ - ja
12
  license: apache-2.0
13
+ base_model: mistralai/Mistral-Nemo-Instruct-2407
14
+ extra_gated_description: If you want to learn more about how we process your personal
15
+ data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
16
  tags:
 
 
 
17
  - TensorBlock
18
  - GGUF
 
19
  ---
20
 
21
  <div style="width: auto; margin-left: auto; margin-right: auto">
 
29
  </div>
30
  </div>
31
 
32
+ ## mistralai/Mistral-Nemo-Instruct-2407 - GGUF
33
 
34
+ This repo contains GGUF format model files for [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407).
35
 
36
  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).
37
 
 
38
  <div style="text-align: left; margin: 20px 0;">
39
  <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;">
40
  Run them on the TensorBlock client using your local machine ↗
 
43
 
44
  ## Prompt template
45
 
 
46
  ```
47
  <s>[INST]{system_prompt}
48
 
 
53
 
54
  | Filename | Quant type | File Size | Description |
55
  | -------- | ---------- | --------- | ----------- |
56
+ | [Mistral-Nemo-Instruct-2407-Q2_K.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q2_K.gguf) | Q2_K | 4.791 GB | smallest, significant quality loss - not recommended for most purposes |
57
+ | [Mistral-Nemo-Instruct-2407-Q3_K_S.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_S.gguf) | Q3_K_S | 5.534 GB | very small, high quality loss |
58
+ | [Mistral-Nemo-Instruct-2407-Q3_K_M.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_M.gguf) | Q3_K_M | 6.083 GB | very small, high quality loss |
59
+ | [Mistral-Nemo-Instruct-2407-Q3_K_L.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_L.gguf) | Q3_K_L | 6.562 GB | small, substantial quality loss |
60
+ | [Mistral-Nemo-Instruct-2407-Q4_0.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_0.gguf) | Q4_0 | 7.072 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
61
+ | [Mistral-Nemo-Instruct-2407-Q4_K_S.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_K_S.gguf) | Q4_K_S | 7.120 GB | small, greater quality loss |
62
+ | [Mistral-Nemo-Instruct-2407-Q4_K_M.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_K_M.gguf) | Q4_K_M | 7.477 GB | medium, balanced quality - recommended |
63
+ | [Mistral-Nemo-Instruct-2407-Q5_0.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q5_0.gguf) | Q5_0 | 8.519 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
64
+ | [Mistral-Nemo-Instruct-2407-Q5_K_S.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q5_K_S.gguf) | Q5_K_S | 8.519 GB | large, low quality loss - recommended |
65
+ | [Mistral-Nemo-Instruct-2407-Q5_K_M.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q5_K_M.gguf) | Q5_K_M | 8.728 GB | large, very low quality loss - recommended |
66
+ | [Mistral-Nemo-Instruct-2407-Q6_K.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q6_K.gguf) | Q6_K | 10.056 GB | very large, extremely low quality loss |
67
+ | [Mistral-Nemo-Instruct-2407-Q8_0.gguf](https://huggingface.co/tensorblock/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q8_0.gguf) | Q8_0 | 13.022 GB | very large, extremely low quality loss - not recommended |
68
 
69
 
70
  ## Downloading instruction