auto-patch README.md
Browse files
README.md
CHANGED
|
@@ -30,7 +30,7 @@ static quants of https://huggingface.co/LumiOpen/Llama-Poro-2-8B-base
|
|
| 30 |
|
| 31 |
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Llama-Poro-2-8B-base-GGUF).***
|
| 32 |
|
| 33 |
-
weighted/imatrix quants
|
| 34 |
## Usage
|
| 35 |
|
| 36 |
If you are unsure how to use GGUF files, refer to one of [TheBloke's
|
|
@@ -43,7 +43,11 @@ more details, including on how to concatenate multi-part files.
|
|
| 43 |
|
| 44 |
| Link | Type | Size/GB | Notes |
|
| 45 |
|:-----|:-----|--------:|:------|
|
|
|
|
| 46 |
| [GGUF](https://huggingface.co/mradermacher/Llama-Poro-2-8B-base-GGUF/resolve/main/Llama-Poro-2-8B-base.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
|
|
|
|
|
|
|
|
|
|
| 47 |
| [GGUF](https://huggingface.co/mradermacher/Llama-Poro-2-8B-base-GGUF/resolve/main/Llama-Poro-2-8B-base.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
|
| 48 |
|
| 49 |
Here is a handy graph by ikawrakow comparing some lower-quality quant
|
|
|
|
| 30 |
|
| 31 |
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Llama-Poro-2-8B-base-GGUF).***
|
| 32 |
|
| 33 |
+
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-Poro-2-8B-base-i1-GGUF
|
| 34 |
## Usage
|
| 35 |
|
| 36 |
If you are unsure how to use GGUF files, refer to one of [TheBloke's
|
|
|
|
| 43 |
|
| 44 |
| Link | Type | Size/GB | Notes |
|
| 45 |
|:-----|:-----|--------:|:------|
|
| 46 |
+
| [GGUF](https://huggingface.co/mradermacher/Llama-Poro-2-8B-base-GGUF/resolve/main/Llama-Poro-2-8B-base.Q2_K.gguf) | Q2_K | 3.3 | |
|
| 47 |
| [GGUF](https://huggingface.co/mradermacher/Llama-Poro-2-8B-base-GGUF/resolve/main/Llama-Poro-2-8B-base.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
|
| 48 |
+
| [GGUF](https://huggingface.co/mradermacher/Llama-Poro-2-8B-base-GGUF/resolve/main/Llama-Poro-2-8B-base.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
|
| 49 |
+
| [GGUF](https://huggingface.co/mradermacher/Llama-Poro-2-8B-base-GGUF/resolve/main/Llama-Poro-2-8B-base.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
|
| 50 |
+
| [GGUF](https://huggingface.co/mradermacher/Llama-Poro-2-8B-base-GGUF/resolve/main/Llama-Poro-2-8B-base.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
|
| 51 |
| [GGUF](https://huggingface.co/mradermacher/Llama-Poro-2-8B-base-GGUF/resolve/main/Llama-Poro-2-8B-base.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
|
| 52 |
|
| 53 |
Here is a handy graph by ikawrakow comparing some lower-quality quant
|