Instructions to use rAIfle/friend-8x7B-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use rAIfle/friend-8x7B-hf with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="rAIfle/friend-8x7B-hf")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("rAIfle/friend-8x7B-hf")
model = AutoModelForCausalLM.from_pretrained("rAIfle/friend-8x7B-hf")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use rAIfle/friend-8x7B-hf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "rAIfle/friend-8x7B-hf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "rAIfle/friend-8x7B-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/rAIfle/friend-8x7B-hf

SGLang

How to use rAIfle/friend-8x7B-hf with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "rAIfle/friend-8x7B-hf" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "rAIfle/friend-8x7B-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "rAIfle/friend-8x7B-hf" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "rAIfle/friend-8x7B-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use rAIfle/friend-8x7B-hf with Docker Model Runner:
```
docker model run hf.co/rAIfle/friend-8x7B-hf
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

friend-8x7B-hf

Several-staged merge this time. Actually decent, from my testings.

Use ChatML or Alpaca, both seemed to work though I liked the outputs from ChatML more.

temp-output-base:

models:
  - model: mistralai/Mixtral-8x7B-v0.1+/ai/LLM/tmp/pefts/daybreak-peft/mixtral-8x7b
    parameters:
      weight: 0.65
  - model: mistralai/Mixtral-8x7B-v0.1+retrieval-bar/Mixtral-8x7B-v0.1_case-briefs
    parameters:
      weight: 0.25
merge_method: task_arithmetic
base_model: mistralai/Mixtral-8x7B-v0.1
dtype: float16

temp-output-instruct:

models:
  - model: mistralai/Mixtral-8x7B-Instruct-v0.1+SeanWu25/Mixtral_8x7b_Medicine
    parameters:
      weight: 0.33
  - model: NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss
    parameters:
      weight: 0.15
merge_method: task_arithmetic
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
dtype: float16

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

./temp-output-base
./temp-output-instruct

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: ./temp-output-base
  - model: ./temp-output-instruct
merge_method: slerp
base_model: ./temp-output-base
parameters:
  t:
    - value: 0.5
dtype: float16

Downloads last month: 14

Safetensors

Model size

47B params

Tensor type

F16

Model tree for rAIfle/friend-8x7B-hf

Quantizations

1 model

Collection including rAIfle/friend-8x7B-hf

Home baked

Collection

Home-baked merges and tunes. • 12 items • Updated Mar 2