Instructions to use tensorblock/bun_mistral_7b_v2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use tensorblock/bun_mistral_7b_v2-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/bun_mistral_7b_v2-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf tensorblock/bun_mistral_7b_v2-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/bun_mistral_7b_v2-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf tensorblock/bun_mistral_7b_v2-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/bun_mistral_7b_v2-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf tensorblock/bun_mistral_7b_v2-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/bun_mistral_7b_v2-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tensorblock/bun_mistral_7b_v2-GGUF:Q2_K

Use Docker

docker model run hf.co/tensorblock/bun_mistral_7b_v2-GGUF:Q2_K

LM Studio
Jan
Ollama
How to use tensorblock/bun_mistral_7b_v2-GGUF with Ollama:
```
ollama run hf.co/tensorblock/bun_mistral_7b_v2-GGUF:Q2_K
```

Unsloth Studio

How to use tensorblock/bun_mistral_7b_v2-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 tensorblock/bun_mistral_7b_v2-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 tensorblock/bun_mistral_7b_v2-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tensorblock/bun_mistral_7b_v2-GGUF to start chatting

Docker Model Runner
How to use tensorblock/bun_mistral_7b_v2-GGUF with Docker Model Runner:
```
docker model run hf.co/tensorblock/bun_mistral_7b_v2-GGUF:Q2_K
```

Lemonade

How to use tensorblock/bun_mistral_7b_v2-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tensorblock/bun_mistral_7b_v2-GGUF:Q2_K

Run and chat with the model

lemonade run user.bun_mistral_7b_v2-GGUF-Q2_K

List all available models

lemonade list

Atomic Chat

morriszms commited on Jan 27

Commit

e311be2

verified ·

1 Parent(s): 93bb23c

Remove .gguf files (keep Q2_K.gguf)

Browse files

Files changed (11) hide show

bun_mistral_7b_v2-Q3_K_L.gguf +0 -3
bun_mistral_7b_v2-Q3_K_M.gguf +0 -3
bun_mistral_7b_v2-Q3_K_S.gguf +0 -3
bun_mistral_7b_v2-Q4_0.gguf +0 -3
bun_mistral_7b_v2-Q4_K_M.gguf +0 -3
bun_mistral_7b_v2-Q4_K_S.gguf +0 -3
bun_mistral_7b_v2-Q5_0.gguf +0 -3
bun_mistral_7b_v2-Q5_K_M.gguf +0 -3
bun_mistral_7b_v2-Q5_K_S.gguf +0 -3
bun_mistral_7b_v2-Q6_K.gguf +0 -3
bun_mistral_7b_v2-Q8_0.gguf +0 -3

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:abc8c40cdbda4ae8dc6814c5c22638b4af5c3612ed0c0491ad1c186279e46593
-size 3822024800

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b452cb996e138272c8a65f84838fe348760bcebe0492cb4e4b078b251a0753df
-size 3518986336

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:80e302d02aac87f7d5b43b77f80e26b2f82ee4f2ab21036c1eeb23541022fabd
-size 3164567648

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8802d1ec8e7864138afffbae8dc263001c47ed01b364e75c34611b3315a08c76
-size 4108916832

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:94b61a0ac0c26f6f57854ae814abd924b9ad2398cf29241bd634b98679a9bdff
-size 4368439392