Instructions to use bartowski/llama-3-sqlcoder-8b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bartowski/llama-3-sqlcoder-8b-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="bartowski/llama-3-sqlcoder-8b-GGUF",
	filename="llama-3-sqlcoder-8b-IQ1_M.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use bartowski/llama-3-sqlcoder-8b-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf bartowski/llama-3-sqlcoder-8b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf bartowski/llama-3-sqlcoder-8b-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf bartowski/llama-3-sqlcoder-8b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf bartowski/llama-3-sqlcoder-8b-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf bartowski/llama-3-sqlcoder-8b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bartowski/llama-3-sqlcoder-8b-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf bartowski/llama-3-sqlcoder-8b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bartowski/llama-3-sqlcoder-8b-GGUF:Q4_K_M

Use Docker

docker model run hf.co/bartowski/llama-3-sqlcoder-8b-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use bartowski/llama-3-sqlcoder-8b-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bartowski/llama-3-sqlcoder-8b-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bartowski/llama-3-sqlcoder-8b-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/bartowski/llama-3-sqlcoder-8b-GGUF:Q4_K_M

Ollama
How to use bartowski/llama-3-sqlcoder-8b-GGUF with Ollama:
```
ollama run hf.co/bartowski/llama-3-sqlcoder-8b-GGUF:Q4_K_M
```

Unsloth Studio new

How to use bartowski/llama-3-sqlcoder-8b-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for bartowski/llama-3-sqlcoder-8b-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for bartowski/llama-3-sqlcoder-8b-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for bartowski/llama-3-sqlcoder-8b-GGUF to start chatting

Docker Model Runner
How to use bartowski/llama-3-sqlcoder-8b-GGUF with Docker Model Runner:
```
docker model run hf.co/bartowski/llama-3-sqlcoder-8b-GGUF:Q4_K_M
```

Lemonade

How to use bartowski/llama-3-sqlcoder-8b-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bartowski/llama-3-sqlcoder-8b-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.llama-3-sqlcoder-8b-GGUF-Q4_K_M

List all available models

lemonade list

bartowski commited on May 20, 2024

Commit

57201bd

verified ·

1 Parent(s): 71d140d

Llamacpp quants

Browse files

Files changed (26) hide show

.gitattributes +24 -0
README.md +104 -0
llama-3-sqlcoder-8b-IQ1_M.gguf +3 -0
llama-3-sqlcoder-8b-IQ1_S.gguf +3 -0
llama-3-sqlcoder-8b-IQ2_M.gguf +3 -0
llama-3-sqlcoder-8b-IQ2_S.gguf +3 -0
llama-3-sqlcoder-8b-IQ2_XS.gguf +3 -0
llama-3-sqlcoder-8b-IQ2_XXS.gguf +3 -0
llama-3-sqlcoder-8b-IQ3_M.gguf +3 -0
llama-3-sqlcoder-8b-IQ3_S.gguf +3 -0
llama-3-sqlcoder-8b-IQ3_XS.gguf +3 -0
llama-3-sqlcoder-8b-IQ3_XXS.gguf +3 -0
llama-3-sqlcoder-8b-IQ4_NL.gguf +3 -0
llama-3-sqlcoder-8b-IQ4_XS.gguf +3 -0
llama-3-sqlcoder-8b-Q2_K.gguf +3 -0
llama-3-sqlcoder-8b-Q3_K_L.gguf +3 -0
llama-3-sqlcoder-8b-Q3_K_M.gguf +3 -0
llama-3-sqlcoder-8b-Q3_K_S.gguf +3 -0
llama-3-sqlcoder-8b-Q4_K_M.gguf +3 -0
llama-3-sqlcoder-8b-Q4_K_S.gguf +3 -0
llama-3-sqlcoder-8b-Q5_K_M.gguf +3 -0
llama-3-sqlcoder-8b-Q5_K_S.gguf +3 -0
llama-3-sqlcoder-8b-Q6_K.gguf +3 -0
llama-3-sqlcoder-8b-Q8_0.gguf +3 -0
llama-3-sqlcoder-8b-f32.gguf +3 -0
llama-3-sqlcoder-8b.imatrix +3 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,27 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-IQ1_M.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-IQ2_XXS.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b-f32.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3-sqlcoder-8b.imatrix filter=lfs diff=lfs merge=lfs -text

README.md ADDED Viewed

	@@ -0,0 +1,104 @@

+---
+license: cc-by-sa-4.0
+metrics:
+- accuracy
+pipeline_tag: text-generation
+tags:
+- code
+quantized_by: bartowski
+---
+## Llamacpp imatrix Quantizations of llama-3-sqlcoder-8b
+Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2940">b2940</a> for quantization.
+Original model: https://huggingface.co/defog/llama-3-sqlcoder-8b
+All quants made using imatrix option with dataset from [here](https://gist.github.com/bartowski1182/b6ac44691e994344625687afe3263b3a)
+## Prompt format
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```
+## Download a file (not the whole branch) from below:
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [llama-3-sqlcoder-8b-Q8_0.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-Q8_0.gguf) | Q8_0 | 8.54GB | Extremely high quality, generally unneeded but max available quant. |
+| [llama-3-sqlcoder-8b-Q6_K.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-Q6_K.gguf) | Q6_K | 6.59GB | Very high quality, near perfect, *recommended*. |
+| [llama-3-sqlcoder-8b-Q5_K_M.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-Q5_K_M.gguf) | Q5_K_M | 5.73GB | High quality, *recommended*. |
+| [llama-3-sqlcoder-8b-Q5_K_S.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-Q5_K_S.gguf) | Q5_K_S | 5.59GB | High quality, *recommended*. |
+| [llama-3-sqlcoder-8b-Q4_K_M.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-Q4_K_M.gguf) | Q4_K_M | 4.92GB | Good quality, uses about 4.83 bits per weight, *recommended*. |
+| [llama-3-sqlcoder-8b-Q4_K_S.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-Q4_K_S.gguf) | Q4_K_S | 4.69GB | Slightly lower quality with more space savings, *recommended*. |
+| [llama-3-sqlcoder-8b-IQ4_NL.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-IQ4_NL.gguf) | IQ4_NL | 4.67GB | Decent quality, slightly smaller than Q4_K_S with similar performance *recommended*. |
+| [llama-3-sqlcoder-8b-IQ4_XS.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-IQ4_XS.gguf) | IQ4_XS | 4.44GB | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
+| [llama-3-sqlcoder-8b-Q3_K_L.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-Q3_K_L.gguf) | Q3_K_L | 4.32GB | Lower quality but usable, good for low RAM availability. |
+| [llama-3-sqlcoder-8b-Q3_K_M.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-Q3_K_M.gguf) | Q3_K_M | 4.01GB | Even lower quality. |
+| [llama-3-sqlcoder-8b-IQ3_M.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-IQ3_M.gguf) | IQ3_M | 3.78GB | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
+| [llama-3-sqlcoder-8b-IQ3_S.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-IQ3_S.gguf) | IQ3_S | 3.68GB | Lower quality, new method with decent performance, recommended over Q3_K_S quant, same size with better performance. |
+| [llama-3-sqlcoder-8b-Q3_K_S.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-Q3_K_S.gguf) | Q3_K_S | 3.66GB | Low quality, not recommended. |
+| [llama-3-sqlcoder-8b-IQ3_XS.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-IQ3_XS.gguf) | IQ3_XS | 3.51GB | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
+| [llama-3-sqlcoder-8b-IQ3_XXS.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-IQ3_XXS.gguf) | IQ3_XXS | 3.27GB | Lower quality, new method with decent performance, comparable to Q3 quants. |
+| [llama-3-sqlcoder-8b-Q2_K.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-Q2_K.gguf) | Q2_K | 3.17GB | Very low quality but surprisingly usable. |
+| [llama-3-sqlcoder-8b-IQ2_M.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-IQ2_M.gguf) | IQ2_M | 2.94GB | Very low quality, uses SOTA techniques to also be surprisingly usable. |
+| [llama-3-sqlcoder-8b-IQ2_S.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-IQ2_S.gguf) | IQ2_S | 2.75GB | Very low quality, uses SOTA techniques to be usable. |
+| [llama-3-sqlcoder-8b-IQ2_XS.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-IQ2_XS.gguf) | IQ2_XS | 2.60GB | Very low quality, uses SOTA techniques to be usable. |
+| [llama-3-sqlcoder-8b-IQ2_XXS.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-IQ2_XXS.gguf) | IQ2_XXS | 2.39GB | Lower quality, uses SOTA techniques to be usable. |
+| [llama-3-sqlcoder-8b-IQ1_M.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-IQ1_M.gguf) | IQ1_M | 2.16GB | Extremely low quality, *not* recommended. |
+| [llama-3-sqlcoder-8b-IQ1_S.gguf](https://huggingface.co/bartowski/llama-3-sqlcoder-8b-GGUF/blob/main/llama-3-sqlcoder-8b-IQ1_S.gguf) | IQ1_S | 2.01GB | Extremely low quality, *not* recommended. |
+## Downloading using huggingface-cli
+First, make sure you have hugginface-cli installed:
+```
+pip install -U "huggingface_hub[cli]"
+```
+Then, you can target the specific file you want:
+```
+huggingface-cli download bartowski/llama-3-sqlcoder-8b-GGUF --include "llama-3-sqlcoder-8b-Q4_K_M.gguf" --local-dir ./ --local-dir-use-symlinks False
+```
+If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:
+```
+huggingface-cli download bartowski/llama-3-sqlcoder-8b-GGUF --include "llama-3-sqlcoder-8b-Q8_0.gguf/*" --local-dir llama-3-sqlcoder-8b-Q8_0 --local-dir-use-symlinks False
+```
+You can either specify a new local-dir (llama-3-sqlcoder-8b-Q8_0) or download them all in place (./)
+## Which file should I choose?
+A great write up with charts showing various performances is provided by Artefact2 [here](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9)
+The first thing to figure out is how big a model you can run. To do this, you'll need to figure out how much RAM and/or VRAM you have.
+If you want your model running as FAST as possible, you'll want to fit the whole thing on your GPU's VRAM. Aim for a quant with a file size 1-2GB smaller than your GPU's total VRAM.
+If you want the absolute maximum quality, add both your system RAM and your GPU's VRAM together, then similarly grab a quant with a file size 1-2GB Smaller than that total.
+Next, you'll need to decide if you want to use an 'I-quant' or a 'K-quant'.
+If you don't want to think too much, grab one of the K-quants. These are in format 'QX_K_X', like Q5_K_M.
+If you want to get more into the weeds, you can check out this extremely useful feature chart:
+[llama.cpp feature matrix](https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix)
+But basically, if you're aiming for below Q4, and you're running cuBLAS (Nvidia) or rocBLAS (AMD), you should look towards the I-quants. These are in format IQX_X, like IQ3_M. These are newer and offer better performance for their size.
+These I-quants can also be used on CPU and Apple Metal, but will be slower than their K-quant equivalent, so speed vs performance is a tradeoff you'll have to decide.
+The I-quants are *not* compatible with Vulcan, which is also AMD, so if you have an AMD card double check if you're using the rocBLAS build or the Vulcan build. At the time of writing this, LM Studio has a preview with ROCm support, and other inference engines have specific builds for ROCm.
+Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski

llama-3-sqlcoder-8b-IQ1_M.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:e6ade89b7771bd627c1a2ca7b560e904e59eba1e7d65b401ede18851286562b1
+size 2161971744

llama-3-sqlcoder-8b-IQ1_S.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:a5e37098668c5d0a400ece7f6ebc49b78ed159c440304a95443d8aa038790e0b
+size 2019627552

llama-3-sqlcoder-8b-IQ2_M.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:749af5c6ebcabb7753cd20034ceb0d46c510a26e659e42a1ce9ffca087667fed
+size 2948280864

llama-3-sqlcoder-8b-IQ2_S.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:5ed5014ff28c994a30e504c37a85c8be617fb51a939d7e14a244fd7f38ffa7b6
+size 2758488608

llama-3-sqlcoder-8b-IQ2_XS.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:25aa5d38ad0b486c02c8f6fbe8e7d50c9babf507bb55694f9bd1b23dd2bf4c56
+size 2605781536

llama-3-sqlcoder-8b-IQ2_XXS.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:ada7985bd5e818030a50d4627b1fdbccff328e2b3ec5507093d770c1aeac2c62
+size 2399212064

llama-3-sqlcoder-8b-IQ3_M.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:166af3e065b0f2477fbb7f2966c09a0b9ffb1120b696d670449586e38641a41b
+size 3784823328

llama-3-sqlcoder-8b-IQ3_S.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:c49835dc99d765a66f0993dac6c541d91ae030920bcfbf559957ecf8f01b8605
+size 3682325024

llama-3-sqlcoder-8b-IQ3_XS.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:baf8ada3caa1dcbd03a3e4e2cf95460ee60d2db2fe2624d1ebe26e5db6b9b712
+size 3518747168

llama-3-sqlcoder-8b-IQ3_XXS.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:e6a54cc54e0f432685bbee3ef8bd85765ab1791d76983c221e6da7da6b621417
+size 3274912288

llama-3-sqlcoder-8b-IQ4_NL.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:4005cb8e104e5aaee21a1be0ccd32c2a4a293c7f60eb4934f3edf04c1651bb78
+size 4677988896

llama-3-sqlcoder-8b-IQ4_XS.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:a909d6091c20f4a93c9881f05ae48a673825a26fe2c98dde4f34972c089733f7
+size 4447662624

llama-3-sqlcoder-8b-Q2_K.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:a6e4817c05a1f0aa0fb3c52935a9c223a21c5bd1cb54d149cf3210fe07149585
+size 3179131424

llama-3-sqlcoder-8b-Q3_K_L.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:7ee59dbb292846e2f24c51f6f95c9d62fd33419a9f6b69ae7dfd137d89d59228
+size 4321956384

llama-3-sqlcoder-8b-Q3_K_M.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:6e8e19898948b5ec4dc4b3c052de0da6e2c356e267eeca6e35dfd3a1881a43ea
+size 4018917920

llama-3-sqlcoder-8b-Q3_K_S.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:cb61508cf61c4fe0a4c64005ccfa48678470fea834ff98f1ab9fc11aff6ce039
+size 3664499232

llama-3-sqlcoder-8b-Q4_K_M.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:cadc00d5e1e8aa11b5650ba9faad9eb976d864f40fbfb071a6b6a8b2d90060a4
+size 4920734240

llama-3-sqlcoder-8b-Q4_K_S.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:2e85dd8186e814813992a297417ec7408ee1c49f144a8abb607b3fbc80472d13
+size 4692668960

llama-3-sqlcoder-8b-Q5_K_M.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:7048f6e9beb008478e537c21eb9086ca4242ecfd9140ca82e18e620cc12c56ff
+size 5732987424

llama-3-sqlcoder-8b-Q5_K_S.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:e41732095a9b5dd7e7873d96acb36a9a699c759043061e8c663dedaf6206fbb0
+size 5599293984

llama-3-sqlcoder-8b-Q6_K.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:65c66c5f8a61937dc3a774385353f9e3ffc9a425c1cf53258c35d44761e95e06
+size 6596006432

llama-3-sqlcoder-8b-Q8_0.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:a7af371f02eb1582b827f5bba411c35e5c99eda14f4892051b5e5a4a93c8cb25
+size 8540770848

llama-3-sqlcoder-8b-f32.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:372fd916d42f03b8b544ca3a78a80fc7ce897e8da4395b47a76047323132838b
+size 32128880928

llama-3-sqlcoder-8b.imatrix ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:39515571920ded763918144ad423aabb6777f96e534f3b8ee854bb80c3ad6695
+size 4988169