Instructions to use klyrone/Chimera with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use klyrone/Chimera with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="klyrone/Chimera",
	filename="Chimera-47B-Q5_K_M.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use klyrone/Chimera with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf klyrone/Chimera:Q5_K_M
# Run inference directly in the terminal:
llama-cli -hf klyrone/Chimera:Q5_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf klyrone/Chimera:Q5_K_M
# Run inference directly in the terminal:
llama-cli -hf klyrone/Chimera:Q5_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 klyrone/Chimera:Q5_K_M
# Run inference directly in the terminal:
./llama-cli -hf klyrone/Chimera:Q5_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 klyrone/Chimera:Q5_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf klyrone/Chimera:Q5_K_M

Use Docker

docker model run hf.co/klyrone/Chimera:Q5_K_M

LM Studio
Jan

vLLM

How to use klyrone/Chimera with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "klyrone/Chimera"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "klyrone/Chimera",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/klyrone/Chimera:Q5_K_M

Ollama
How to use klyrone/Chimera with Ollama:
```
ollama run hf.co/klyrone/Chimera:Q5_K_M
```

Unsloth Studio

How to use klyrone/Chimera 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 klyrone/Chimera 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 klyrone/Chimera to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for klyrone/Chimera to start chatting

Atomic Chat new
Docker Model Runner
How to use klyrone/Chimera with Docker Model Runner:
```
docker model run hf.co/klyrone/Chimera:Q5_K_M
```

Lemonade

How to use klyrone/Chimera with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull klyrone/Chimera:Q5_K_M

Run and chat with the model

lemonade run user.Chimera-Q5_K_M

List all available models

lemonade list

kk497055 commited on Mar 10

Commit

2142e95

verified ·

1 Parent(s): 74545eb

Add correct Mixtral config.json for lm-eval

Browse files

Files changed (1) hide show

config.json +18 -0

config.json ADDED Viewed

	@@ -0,0 +1,18 @@

+{
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "model_type": "mixtral",
+  "hidden_size": 4096,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 8,
+  "num_experts_per_tok": 2,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "torch_dtype": "bfloat16",
+  "vocab_size": 32000
+}