Instructions to use CohereLabs/tiny-aya-fire-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CohereLabs/tiny-aya-fire-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CohereLabs/tiny-aya-fire-GGUF", dtype="auto") - llama-cpp-python
How to use CohereLabs/tiny-aya-fire-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="CohereLabs/tiny-aya-fire-GGUF", filename="tiny-aya-fire-bf16.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use CohereLabs/tiny-aya-fire-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf CohereLabs/tiny-aya-fire-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf CohereLabs/tiny-aya-fire-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 CohereLabs/tiny-aya-fire-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf CohereLabs/tiny-aya-fire-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 CohereLabs/tiny-aya-fire-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf CohereLabs/tiny-aya-fire-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 CohereLabs/tiny-aya-fire-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf CohereLabs/tiny-aya-fire-GGUF:Q4_K_M
Use Docker
docker model run hf.co/CohereLabs/tiny-aya-fire-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use CohereLabs/tiny-aya-fire-GGUF with Ollama:
ollama run hf.co/CohereLabs/tiny-aya-fire-GGUF:Q4_K_M
- Unsloth Studio
How to use CohereLabs/tiny-aya-fire-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 CohereLabs/tiny-aya-fire-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 CohereLabs/tiny-aya-fire-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for CohereLabs/tiny-aya-fire-GGUF to start chatting
- Docker Model Runner
How to use CohereLabs/tiny-aya-fire-GGUF with Docker Model Runner:
docker model run hf.co/CohereLabs/tiny-aya-fire-GGUF:Q4_K_M
- Lemonade
How to use CohereLabs/tiny-aya-fire-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull CohereLabs/tiny-aya-fire-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.tiny-aya-fire-GGUF-Q4_K_M
List all available models
lemonade list
Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
inference: false
|
| 3 |
+
library_name: transformers
|
| 4 |
+
language:
|
| 5 |
+
- en
|
| 6 |
+
- nl
|
| 7 |
+
- fr
|
| 8 |
+
- it
|
| 9 |
+
- pt
|
| 10 |
+
- ro
|
| 11 |
+
- es
|
| 12 |
+
- cs
|
| 13 |
+
- pl
|
| 14 |
+
- uk
|
| 15 |
+
- ru
|
| 16 |
+
- el
|
| 17 |
+
- de
|
| 18 |
+
- da
|
| 19 |
+
- sv
|
| 20 |
+
- "no"
|
| 21 |
+
- ca
|
| 22 |
+
- gl
|
| 23 |
+
- cy
|
| 24 |
+
- ga
|
| 25 |
+
- eu
|
| 26 |
+
- hr
|
| 27 |
+
- lv
|
| 28 |
+
- lt
|
| 29 |
+
- sk
|
| 30 |
+
- sl
|
| 31 |
+
- et
|
| 32 |
+
- fi
|
| 33 |
+
- hu
|
| 34 |
+
- sr
|
| 35 |
+
- bg
|
| 36 |
+
- ar
|
| 37 |
+
- fa
|
| 38 |
+
- ur
|
| 39 |
+
- tr
|
| 40 |
+
- mt
|
| 41 |
+
- he
|
| 42 |
+
- hi
|
| 43 |
+
- mr
|
| 44 |
+
- bn
|
| 45 |
+
- gu
|
| 46 |
+
- pa
|
| 47 |
+
- ta
|
| 48 |
+
- te
|
| 49 |
+
- ne
|
| 50 |
+
- tl
|
| 51 |
+
- ms
|
| 52 |
+
- id
|
| 53 |
+
- vi
|
| 54 |
+
- jv
|
| 55 |
+
- km
|
| 56 |
+
- th
|
| 57 |
+
- lo
|
| 58 |
+
- zh
|
| 59 |
+
- my
|
| 60 |
+
- ja
|
| 61 |
+
- ko
|
| 62 |
+
- am
|
| 63 |
+
- ha
|
| 64 |
+
- ig
|
| 65 |
+
- mg
|
| 66 |
+
- sn
|
| 67 |
+
- sw
|
| 68 |
+
- wo
|
| 69 |
+
- xh
|
| 70 |
+
- yo
|
| 71 |
+
- zu
|
| 72 |
+
license: cc-by-nc-4.0
|
| 73 |
+
extra_gated_prompt: >-
|
| 74 |
+
By submitting this form, you agree to the [License
|
| 75 |
+
Agreement](https://cohere.com/c4ai-cc-by-nc-license) and acknowledge that the
|
| 76 |
+
information you provide will be collected, used, and shared in accordance with
|
| 77 |
+
Cohere's [Privacy Policy]( https://cohere.com/privacy). You'll receive email
|
| 78 |
+
updates about Cohere Labs and Cohere research, events, products and services.
|
| 79 |
+
You can unsubscribe at any time.
|
| 80 |
+
extra_gated_fields:
|
| 81 |
+
Name: text
|
| 82 |
+
Affiliation: text
|
| 83 |
+
Country: country
|
| 84 |
+
I agree to use this model for non-commercial use ONLY: checkbox
|
| 85 |
+
base_model: CohereLabs/tiny-aya-fire
|
| 86 |
+
---
|