Instructions to use mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1 with Transformers:

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

pipe = pipeline("text-generation", model="mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1

SGLang

How to use mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1 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 "mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1 with Docker Model Runner:
```
docker model run hf.co/mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1
```

mrs83 commited on May 13

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@@ -16,10 +16,6 @@ tags:
 # Model Card for Kurtis-EON1-Hybrid-0.7B-v0.1.1
-Work in Progress!
-# Model Analysis: Kurtis-EON1-Hybrid-0.7B-v0.1.1
 ## 🏗️ Hybrid Architecture Details
 | Property | Value |
 | :--- | :--- |
@@ -49,5 +45,84 @@ Work in Progress!
 - **DSRN Parameter Overhead**: 6.67% additional parameters compared to base.
 - **Hybrid Ratio**: 1 DSRN block for every 4 attention layers.
----
-*Generated by `scripts/inspect_hybrid_params.py`*

 # Model Card for Kurtis-EON1-Hybrid-0.7B-v0.1.1
 ## 🏗️ Hybrid Architecture Details
 | Property | Value |
 | :--- | :--- |
 - **DSRN Parameter Overhead**: 6.67% additional parameters compared to base.
 - **Hybrid Ratio**: 1 DSRN block for every 4 attention layers.
+## 📊 Master Evaluation Report: Kurtis-EON1 v0.1.1
+*Generated on 2026-05-13 19:53:37*
+### 🎯 0-Shot Gauntlet Results
+| Task | Metric | Value | Stderr |
+| :--- | :--- | :--- | :--- |
+| hellaswag | Acc Norm | 0.4698 | ±0.0050 |
+| piqa | Acc Norm | 0.6882 | ±0.0108 |
+| sciq | Acc Norm | 0.9210 | ±0.0085 |
+| truthfulqa_gen | Bleu Acc | 0.3158 | ±0.0163 |
+| truthfulqa_mc1 | Acc | 0.2436 | ±0.0150 |
+| truthfulqa_mc2 | Acc | 0.4178 | ±0.0148 |
+| arc_challenge | Acc Norm | 0.3532 | ±0.0140 |
+| gsm8k | Exact Match | 0.1365 | ±0.0095 |
+**Reproduction Command:**
+```bash
+uv run lm_eval --model hf \
+    --model_args pretrained=mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1,trust_remote_code=True \
+    --tasks hellaswag,piqa,sciq,truthfulqa,arc_challenge,gsm8k \
+    --apply_chat_template \
+    --fewshot_as_multiturn \
+    --output_path ./results/Kurtis-EON1-v0.1.1-Gauntlet-0-shot \
+    --batch_size 1 \
+    --num_fewshot 0
+```
+----------------------------------------
+### 🎯 1-Shot Gauntlet Results
+| Task | Metric | Value | Stderr |
+| :--- | :--- | :--- | :--- |
+| hellaswag | Acc Norm | 0.4679 | ±0.0050 |
+| piqa | Acc Norm | 0.6942 | ±0.0107 |
+| sciq | Acc Norm | 0.9160 | ±0.0088 |
+| truthfulqa_gen | Bleu Acc | 0.3158 | ±0.0163 |
+| truthfulqa_mc1 | Acc | 0.2436 | ±0.0150 |
+| truthfulqa_mc2 | Acc | 0.4178 | ±0.0148 |
+| arc_challenge | Acc Norm | 0.3242 | ±0.0137 |
+| gsm8k | Exact Match | 0.2335 | ±0.0117 |
+**Reproduction Command:**
+```bash
+uv run lm_eval --model hf \
+    --model_args pretrained=mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1,trust_remote_code=True \
+    --tasks hellaswag,piqa,sciq,truthfulqa,arc_challenge,gsm8k \
+    --apply_chat_template \
+    --fewshot_as_multiturn \
+    --output_path ./results/Kurtis-EON1-v0.1.1-Gauntlet-1-shot \
+    --batch_size 1 \
+    --num_fewshot 1
+```
+----------------------------------------
+### 🎯 5-Shot Gauntlet Results
+| Task | Metric | Value | Stderr |
+| :--- | :--- | :--- | :--- |
+| hellaswag | Acc Norm | 0.4667 | ±0.0050 |
+| piqa | Acc Norm | 0.6937 | ±0.0108 |
+| sciq | Acc Norm | 0.9230 | ±0.0084 |
+| truthfulqa_gen | Bleu Acc | 0.3158 | ±0.0163 |
+| truthfulqa_mc1 | Acc | 0.2436 | ±0.0150 |
+| truthfulqa_mc2 | Acc | 0.4178 | ±0.0148 |
+| arc_challenge | Acc Norm | 0.3507 | ±0.0139 |
+| gsm8k | Exact Match | 0.2153 | ±0.0113 |
+**Reproduction Command:**
+```bash
+uv run lm_eval --model hf \
+    --model_args pretrained=mrs83/Kurtis-EON1-Hybrid-0.7B-v0.1.1,trust_remote_code=True \
+    --tasks hellaswag,piqa,sciq,truthfulqa,arc_challenge,gsm8k \
+    --apply_chat_template \
+    --fewshot_as_multiturn \
+    --output_path ./results/Kurtis-EON1-v0.1.1-Gauntlet-5-shot \
+    --batch_size 1 \
+    --num_fewshot 5
+```
+----------------------------------------