Update README.md
Browse files
README.md
CHANGED
@@ -31,8 +31,16 @@ This repo contains GGUF format model files for [maum-ai/Llama-3-MAAL-8B-Instruct
|
|
31 |
|
32 |
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).
|
33 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
34 |
## Prompt template
|
35 |
|
|
|
36 |
```
|
37 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
|
38 |
|
@@ -45,18 +53,18 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
|
|
45 |
|
46 |
| Filename | Quant type | File Size | Description |
|
47 |
| -------- | ---------- | --------- | ----------- |
|
48 |
-
| [Llama-3-MAAL-8B-Instruct-v0.1-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/
|
49 |
-
| [Llama-3-MAAL-8B-Instruct-v0.1-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/
|
50 |
-
| [Llama-3-MAAL-8B-Instruct-v0.1-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/
|
51 |
-
| [Llama-3-MAAL-8B-Instruct-v0.1-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/
|
52 |
-
| [Llama-3-MAAL-8B-Instruct-v0.1-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/
|
53 |
-
| [Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/
|
54 |
-
| [Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/
|
55 |
-
| [Llama-3-MAAL-8B-Instruct-v0.1-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/
|
56 |
-
| [Llama-3-MAAL-8B-Instruct-v0.1-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/
|
57 |
-
| [Llama-3-MAAL-8B-Instruct-v0.1-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/
|
58 |
-
| [Llama-3-MAAL-8B-Instruct-v0.1-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/
|
59 |
-
| [Llama-3-MAAL-8B-Instruct-v0.1-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/
|
60 |
|
61 |
|
62 |
## Downloading instruction
|
|
|
31 |
|
32 |
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).
|
33 |
|
34 |
+
|
35 |
+
<div style="text-align: left; margin: 20px 0;">
|
36 |
+
<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 |
+
Run them on the TensorBlock client using your local machine ↗
|
38 |
+
</a>
|
39 |
+
</div>
|
40 |
+
|
41 |
## Prompt template
|
42 |
|
43 |
+
|
44 |
```
|
45 |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
|
46 |
|
|
|
53 |
|
54 |
| Filename | Quant type | File Size | Description |
|
55 |
| -------- | ---------- | --------- | ----------- |
|
56 |
+
| [Llama-3-MAAL-8B-Instruct-v0.1-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/blob/main/Llama-3-MAAL-8B-Instruct-v0.1-Q2_K.gguf) | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
|
57 |
+
| [Llama-3-MAAL-8B-Instruct-v0.1-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/blob/main/Llama-3-MAAL-8B-Instruct-v0.1-Q3_K_S.gguf) | Q3_K_S | 3.413 GB | very small, high quality loss |
|
58 |
+
| [Llama-3-MAAL-8B-Instruct-v0.1-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/blob/main/Llama-3-MAAL-8B-Instruct-v0.1-Q3_K_M.gguf) | Q3_K_M | 3.743 GB | very small, high quality loss |
|
59 |
+
| [Llama-3-MAAL-8B-Instruct-v0.1-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/blob/main/Llama-3-MAAL-8B-Instruct-v0.1-Q3_K_L.gguf) | Q3_K_L | 4.025 GB | small, substantial quality loss |
|
60 |
+
| [Llama-3-MAAL-8B-Instruct-v0.1-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/blob/main/Llama-3-MAAL-8B-Instruct-v0.1-Q4_0.gguf) | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
61 |
+
| [Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/blob/main/Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_S.gguf) | Q4_K_S | 4.370 GB | small, greater quality loss |
|
62 |
+
| [Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/blob/main/Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_M.gguf) | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
|
63 |
+
| [Llama-3-MAAL-8B-Instruct-v0.1-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/blob/main/Llama-3-MAAL-8B-Instruct-v0.1-Q5_0.gguf) | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
64 |
+
| [Llama-3-MAAL-8B-Instruct-v0.1-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/blob/main/Llama-3-MAAL-8B-Instruct-v0.1-Q5_K_S.gguf) | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
|
65 |
+
| [Llama-3-MAAL-8B-Instruct-v0.1-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/blob/main/Llama-3-MAAL-8B-Instruct-v0.1-Q5_K_M.gguf) | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
|
66 |
+
| [Llama-3-MAAL-8B-Instruct-v0.1-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/blob/main/Llama-3-MAAL-8B-Instruct-v0.1-Q6_K.gguf) | Q6_K | 6.143 GB | very large, extremely low quality loss |
|
67 |
+
| [Llama-3-MAAL-8B-Instruct-v0.1-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-3-MAAL-8B-Instruct-v0.1-GGUF/blob/main/Llama-3-MAAL-8B-Instruct-v0.1-Q8_0.gguf) | Q8_0 | 7.954 GB | very large, extremely low quality loss - not recommended |
|
68 |
|
69 |
|
70 |
## Downloading instruction
|