Text Generation
GGUF
finance
supervision
cyber risk
cybersecurity
cyber threats
SFT
LoRA
A100GPU
TensorBlock
GGUF
conversational
Instructions to use tensorblock/cyber-risk-llama-3-8b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tensorblock/cyber-risk-llama-3-8b-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf tensorblock/cyber-risk-llama-3-8b-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/cyber-risk-llama-3-8b-GGUF:Q2_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tensorblock/cyber-risk-llama-3-8b-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/cyber-risk-llama-3-8b-GGUF:Q2_K
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 tensorblock/cyber-risk-llama-3-8b-GGUF:Q2_K # Run inference directly in the terminal: ./llama-cli -hf tensorblock/cyber-risk-llama-3-8b-GGUF:Q2_K
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 tensorblock/cyber-risk-llama-3-8b-GGUF:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf tensorblock/cyber-risk-llama-3-8b-GGUF:Q2_K
Use Docker
docker model run hf.co/tensorblock/cyber-risk-llama-3-8b-GGUF:Q2_K
- LM Studio
- Jan
- vLLM
How to use tensorblock/cyber-risk-llama-3-8b-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "tensorblock/cyber-risk-llama-3-8b-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": "tensorblock/cyber-risk-llama-3-8b-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/tensorblock/cyber-risk-llama-3-8b-GGUF:Q2_K
- Ollama
How to use tensorblock/cyber-risk-llama-3-8b-GGUF with Ollama:
ollama run hf.co/tensorblock/cyber-risk-llama-3-8b-GGUF:Q2_K
- Unsloth Desktop
- Docker Model Runner
How to use tensorblock/cyber-risk-llama-3-8b-GGUF with Docker Model Runner:
docker model run hf.co/tensorblock/cyber-risk-llama-3-8b-GGUF:Q2_K
- Lemonade
How to use tensorblock/cyber-risk-llama-3-8b-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tensorblock/cyber-risk-llama-3-8b-GGUF:Q2_K
Run and chat with the model
lemonade run user.cyber-risk-llama-3-8b-GGUF-Q2_K
List all available models
lemonade list
- Atomic Chat
Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +90 -0
- cyber-risk-llama-3-8b-Q2_K.gguf +3 -0
- cyber-risk-llama-3-8b-Q3_K_L.gguf +3 -0
- cyber-risk-llama-3-8b-Q3_K_M.gguf +3 -0
- cyber-risk-llama-3-8b-Q3_K_S.gguf +3 -0
- cyber-risk-llama-3-8b-Q4_0.gguf +3 -0
- cyber-risk-llama-3-8b-Q4_K_M.gguf +3 -0
- cyber-risk-llama-3-8b-Q4_K_S.gguf +3 -0
- cyber-risk-llama-3-8b-Q5_0.gguf +3 -0
- cyber-risk-llama-3-8b-Q5_K_M.gguf +3 -0
- cyber-risk-llama-3-8b-Q5_K_S.gguf +3 -0
- cyber-risk-llama-3-8b-Q6_K.gguf +3 -0
- cyber-risk-llama-3-8b-Q8_0.gguf +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
cyber-risk-llama-3-8b-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
cyber-risk-llama-3-8b-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
cyber-risk-llama-3-8b-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
cyber-risk-llama-3-8b-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
cyber-risk-llama-3-8b-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
cyber-risk-llama-3-8b-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
|
| 42 |
+
cyber-risk-llama-3-8b-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
cyber-risk-llama-3-8b-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
cyber-risk-llama-3-8b-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
|
| 45 |
+
cyber-risk-llama-3-8b-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
| 46 |
+
cyber-risk-llama-3-8b-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
|
| 47 |
+
cyber-risk-llama-3-8b-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,90 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
datasets:
|
| 3 |
+
- Vanessasml/cybersecurity_32k_instruction_input_output
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- finance
|
| 7 |
+
- supervision
|
| 8 |
+
- cyber risk
|
| 9 |
+
- cybersecurity
|
| 10 |
+
- cyber threats
|
| 11 |
+
- SFT
|
| 12 |
+
- LoRA
|
| 13 |
+
- A100GPU
|
| 14 |
+
- TensorBlock
|
| 15 |
+
- GGUF
|
| 16 |
+
base_model: Vanessasml/cyber-risk-llama-3-8b
|
| 17 |
+
---
|
| 18 |
+
|
| 19 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
|
| 20 |
+
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
| 21 |
+
</div>
|
| 22 |
+
<div style="display: flex; justify-content: space-between; width: 100%;">
|
| 23 |
+
<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
| 24 |
+
<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
| 25 |
+
Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
|
| 26 |
+
</p>
|
| 27 |
+
</div>
|
| 28 |
+
</div>
|
| 29 |
+
|
| 30 |
+
## Vanessasml/cyber-risk-llama-3-8b - GGUF
|
| 31 |
+
|
| 32 |
+
This repo contains GGUF format model files for [Vanessasml/cyber-risk-llama-3-8b](https://huggingface.co/Vanessasml/cyber-risk-llama-3-8b).
|
| 33 |
+
|
| 34 |
+
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).
|
| 35 |
+
|
| 36 |
+
<div style="text-align: left; margin: 20px 0;">
|
| 37 |
+
<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;">
|
| 38 |
+
Run them on the TensorBlock client using your local machine ↗
|
| 39 |
+
</a>
|
| 40 |
+
</div>
|
| 41 |
+
|
| 42 |
+
## Prompt template
|
| 43 |
+
|
| 44 |
+
```
|
| 45 |
+
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
|
| 46 |
+
|
| 47 |
+
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
|
| 48 |
+
|
| 49 |
+
{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
| 50 |
+
```
|
| 51 |
+
|
| 52 |
+
## Model file specification
|
| 53 |
+
|
| 54 |
+
| Filename | Quant type | File Size | Description |
|
| 55 |
+
| -------- | ---------- | --------- | ----------- |
|
| 56 |
+
| [cyber-risk-llama-3-8b-Q2_K.gguf](https://huggingface.co/tensorblock/cyber-risk-llama-3-8b-GGUF/blob/main/cyber-risk-llama-3-8b-Q2_K.gguf) | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
|
| 57 |
+
| [cyber-risk-llama-3-8b-Q3_K_S.gguf](https://huggingface.co/tensorblock/cyber-risk-llama-3-8b-GGUF/blob/main/cyber-risk-llama-3-8b-Q3_K_S.gguf) | Q3_K_S | 3.664 GB | very small, high quality loss |
|
| 58 |
+
| [cyber-risk-llama-3-8b-Q3_K_M.gguf](https://huggingface.co/tensorblock/cyber-risk-llama-3-8b-GGUF/blob/main/cyber-risk-llama-3-8b-Q3_K_M.gguf) | Q3_K_M | 4.019 GB | very small, high quality loss |
|
| 59 |
+
| [cyber-risk-llama-3-8b-Q3_K_L.gguf](https://huggingface.co/tensorblock/cyber-risk-llama-3-8b-GGUF/blob/main/cyber-risk-llama-3-8b-Q3_K_L.gguf) | Q3_K_L | 4.322 GB | small, substantial quality loss |
|
| 60 |
+
| [cyber-risk-llama-3-8b-Q4_0.gguf](https://huggingface.co/tensorblock/cyber-risk-llama-3-8b-GGUF/blob/main/cyber-risk-llama-3-8b-Q4_0.gguf) | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
| 61 |
+
| [cyber-risk-llama-3-8b-Q4_K_S.gguf](https://huggingface.co/tensorblock/cyber-risk-llama-3-8b-GGUF/blob/main/cyber-risk-llama-3-8b-Q4_K_S.gguf) | Q4_K_S | 4.693 GB | small, greater quality loss |
|
| 62 |
+
| [cyber-risk-llama-3-8b-Q4_K_M.gguf](https://huggingface.co/tensorblock/cyber-risk-llama-3-8b-GGUF/blob/main/cyber-risk-llama-3-8b-Q4_K_M.gguf) | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
|
| 63 |
+
| [cyber-risk-llama-3-8b-Q5_0.gguf](https://huggingface.co/tensorblock/cyber-risk-llama-3-8b-GGUF/blob/main/cyber-risk-llama-3-8b-Q5_0.gguf) | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
| 64 |
+
| [cyber-risk-llama-3-8b-Q5_K_S.gguf](https://huggingface.co/tensorblock/cyber-risk-llama-3-8b-GGUF/blob/main/cyber-risk-llama-3-8b-Q5_K_S.gguf) | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
|
| 65 |
+
| [cyber-risk-llama-3-8b-Q5_K_M.gguf](https://huggingface.co/tensorblock/cyber-risk-llama-3-8b-GGUF/blob/main/cyber-risk-llama-3-8b-Q5_K_M.gguf) | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
|
| 66 |
+
| [cyber-risk-llama-3-8b-Q6_K.gguf](https://huggingface.co/tensorblock/cyber-risk-llama-3-8b-GGUF/blob/main/cyber-risk-llama-3-8b-Q6_K.gguf) | Q6_K | 6.596 GB | very large, extremely low quality loss |
|
| 67 |
+
| [cyber-risk-llama-3-8b-Q8_0.gguf](https://huggingface.co/tensorblock/cyber-risk-llama-3-8b-GGUF/blob/main/cyber-risk-llama-3-8b-Q8_0.gguf) | Q8_0 | 8.541 GB | very large, extremely low quality loss - not recommended |
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
## Downloading instruction
|
| 71 |
+
|
| 72 |
+
### Command line
|
| 73 |
+
|
| 74 |
+
Firstly, install Huggingface Client
|
| 75 |
+
|
| 76 |
+
```shell
|
| 77 |
+
pip install -U "huggingface_hub[cli]"
|
| 78 |
+
```
|
| 79 |
+
|
| 80 |
+
Then, downoad the individual model file the a local directory
|
| 81 |
+
|
| 82 |
+
```shell
|
| 83 |
+
huggingface-cli download tensorblock/cyber-risk-llama-3-8b-GGUF --include "cyber-risk-llama-3-8b-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
| 84 |
+
```
|
| 85 |
+
|
| 86 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
| 87 |
+
|
| 88 |
+
```shell
|
| 89 |
+
huggingface-cli download tensorblock/cyber-risk-llama-3-8b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
| 90 |
+
```
|
cyber-risk-llama-3-8b-Q2_K.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:94c3ade7a4cdd0b6a341bbddfed21a6a4a15c8b0bebb34582305b05dd64bb8f8
|
| 3 |
+
size 3179131712
|
cyber-risk-llama-3-8b-Q3_K_L.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b1c52a426d0b1484a7ae35e22f93d95cca22e13886dedcce02c1cbd02c12e9cb
|
| 3 |
+
size 4321956672
|
cyber-risk-llama-3-8b-Q3_K_M.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fba5528a8ff09dea6c9e35f1f8499c80befe55da844a4c214beff2a0e18695e3
|
| 3 |
+
size 4018918208
|
cyber-risk-llama-3-8b-Q3_K_S.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d774746eb07ccebbcbbcddc762f167f38a46e1d2c9bf3eedb554792d9f8b9377
|
| 3 |
+
size 3664499520
|
cyber-risk-llama-3-8b-Q4_0.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:43017f1d93fe9354a4856828de757ea2061070fe134ae47616e82418adda96a4
|
| 3 |
+
size 4661211968
|
cyber-risk-llama-3-8b-Q4_K_M.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b174b19e480af132293b108b0a96d393ee22f65a26995e0f5bf6f81da7559bef
|
| 3 |
+
size 4920734528
|
cyber-risk-llama-3-8b-Q4_K_S.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:977a7a2149ae8066f5eb6886c7e5f37ffa424ca1c4a591d61888a72b09de41c8
|
| 3 |
+
size 4692669248
|
cyber-risk-llama-3-8b-Q5_0.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8b0b3a842cf54649b9931faddac090c1a4217fe6e750a4f65e5d84049055ec25
|
| 3 |
+
size 5599294272
|
cyber-risk-llama-3-8b-Q5_K_M.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7cece2d7614840eadeb5b65afbaa65f2e3153a4bb69a50e8f4898fb32c4bcdaa
|
| 3 |
+
size 5732987712
|
cyber-risk-llama-3-8b-Q5_K_S.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4951e81ee926fb953a5a9140d8429aa73538bcee5efe90c10a2999d4de92d68e
|
| 3 |
+
size 5599294272
|
cyber-risk-llama-3-8b-Q6_K.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7a2ab7ab3cd7bd0c5d2e4fa1ff3cd02aab65b601cccf38f1319cefa9109f9d91
|
| 3 |
+
size 6596006720
|
cyber-risk-llama-3-8b-Q8_0.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7d257f84a12fef7b05768d7ac7e9afda556e382f9acbfd8200e7281fe4f87c8f
|
| 3 |
+
size 8540771136
|