Mistral-7B
Collection
5 items • Updated • 1
How to use FallenMerick/Chewy-Lemon-Cookie-11B with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="FallenMerick/Chewy-Lemon-Cookie-11B") # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("FallenMerick/Chewy-Lemon-Cookie-11B")
model = AutoModelForCausalLM.from_pretrained("FallenMerick/Chewy-Lemon-Cookie-11B")How to use FallenMerick/Chewy-Lemon-Cookie-11B with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FallenMerick/Chewy-Lemon-Cookie-11B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "FallenMerick/Chewy-Lemon-Cookie-11B",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/FallenMerick/Chewy-Lemon-Cookie-11B
How to use FallenMerick/Chewy-Lemon-Cookie-11B with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "FallenMerick/Chewy-Lemon-Cookie-11B" \
--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": "FallenMerick/Chewy-Lemon-Cookie-11B",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'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 "FallenMerick/Chewy-Lemon-Cookie-11B" \
--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": "FallenMerick/Chewy-Lemon-Cookie-11B",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'How to use FallenMerick/Chewy-Lemon-Cookie-11B with Docker Model Runner:
docker model run hf.co/FallenMerick/Chewy-Lemon-Cookie-11B
This is a merge of pre-trained language models created using mergekit.
GGUF quants:
This model was merged using the following methods:
The following models were included in the merge:
The following YAML configurations were used to produce this model:
slices:
- sources:
- model: SanjiWatsuki/Kunoichi-7B
layer_range: [0, 24]
- sources:
- model: SanjiWatsuki/Silicon-Maid-7B
layer_range: [8, 24]
- sources:
- model: KatyTheCutie/LemonadeRP-4.5.3
layer_range: [24, 32]
merge_method: passthrough
dtype: bfloat16
name: Big-Lemon-Cookie-11B-BF16
---
models:
- model: Big-Lemon-Cookie-11B-BF16
parameters:
weight: 0.85
- model: Sao10K/Fimbulvetr-11B-v2
parameters:
weight: 0.15
merge_method: task_arithmetic
base_model: Big-Lemon-Cookie-11B-BF16
dtype: bfloat16
name: Chewy-Lemon-Cookie-11B
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.91 |
| IFEval (0-Shot) | 48.75 |
| BBH (3-Shot) | 33.01 |
| MATH Lvl 5 (4-Shot) | 4.61 |
| GPQA (0-shot) | 3.91 |
| MuSR (0-shot) | 15.95 |
| MMLU-PRO (5-shot) | 25.19 |