Instructions to use EleutherAI/deep-ignorance-e2e-weak-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use EleutherAI/deep-ignorance-e2e-weak-filter with Transformers:

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

pipe = pipeline("text-generation", model="EleutherAI/deep-ignorance-e2e-weak-filter")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("EleutherAI/deep-ignorance-e2e-weak-filter")
model = AutoModelForCausalLM.from_pretrained("EleutherAI/deep-ignorance-e2e-weak-filter", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use EleutherAI/deep-ignorance-e2e-weak-filter with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "EleutherAI/deep-ignorance-e2e-weak-filter"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EleutherAI/deep-ignorance-e2e-weak-filter",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/EleutherAI/deep-ignorance-e2e-weak-filter

SGLang

How to use EleutherAI/deep-ignorance-e2e-weak-filter 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 "EleutherAI/deep-ignorance-e2e-weak-filter" \
    --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": "EleutherAI/deep-ignorance-e2e-weak-filter",
		"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 "EleutherAI/deep-ignorance-e2e-weak-filter" \
        --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": "EleutherAI/deep-ignorance-e2e-weak-filter",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use EleutherAI/deep-ignorance-e2e-weak-filter with Docker Model Runner:
```
docker model run hf.co/EleutherAI/deep-ignorance-e2e-weak-filter
```

Kyle1668 commited on Jun 29, 2025

Commit

6009142

verified ·

1 Parent(s): 5dbeb81

Upload GPTNeoXForCausalLM

Browse files

Files changed (3) hide show

config.json +1 -1
generation_config.json +1 -1
model.safetensors.index.json +1 -0

config.json CHANGED Viewed

@@ -24,7 +24,7 @@
   "rotary_pct": 0.25,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.52.4",
   "use_cache": true,
   "use_parallel_residual": true,
   "vocab_size": 50304

   "rotary_pct": 0.25,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
+  "transformers_version": "4.53.0",
   "use_cache": true,
   "use_parallel_residual": true,
   "vocab_size": 50304

generation_config.json CHANGED Viewed

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 0,
   "eos_token_id": 2,
-  "transformers_version": "4.52.4"
 }

   "_from_model_config": true,
   "bos_token_id": 0,
   "eos_token_id": 2,
+  "transformers_version": "4.53.0"
 }

model.safetensors.index.json CHANGED Viewed

@@ -1,5 +1,6 @@
 {
   "metadata": {
     "total_size": 13712506880
   },
   "weight_map": {

 {
   "metadata": {
+    "total_parameters": 6856253440,
     "total_size": 13712506880
   },
   "weight_map": {