Instructions to use Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf with Transformers:

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

pipe = pipeline("text-generation", model="Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf")
model = AutoModelForCausalLM.from_pretrained("Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf

SGLang

How to use Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf 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 "Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf" \
    --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": "Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf",
		"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 "Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf" \
        --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": "Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf with Docker Model Runner:
```
docker model run hf.co/Dassem/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-endangered_gregarious_wolf
```

Dassem commited on May 3, 2025

Commit

4a95d29

verified ·

1 Parent(s): fc4d2aa

End of training

Browse files

Files changed (4) hide show

all_results.json +3 -3
model.safetensors +1 -1
train_results.json +3 -3
trainer_state.json +114 -114

all_results.json CHANGED Viewed

@@ -1,8 +1,8 @@
 {
     "total_flos": 0.0,
-    "train_loss": 658.4579157842323,
-    "train_runtime": 121.6045,
     "train_samples": 28,
-    "train_samples_per_second": 2.631,
     "train_steps_per_second": 0.164
 }

 {
     "total_flos": 0.0,
+    "train_loss": 16.613859914429487,
+    "train_runtime": 122.1144,
     "train_samples": 28,
+    "train_samples_per_second": 2.62,
     "train_steps_per_second": 0.164
 }

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:66e544951030db68f4cc94b5e27a4e2e3c58896bbdf2f5b7afb937c12217c92e
 size 1976163472

 version https://git-lfs.github.com/spec/v1
+oid sha256:4c2d76f456ad84e985e5d185808b71a2d4ccfc7804a4c97ba2760ea4feab8d52
 size 1976163472

train_results.json CHANGED Viewed

@@ -1,8 +1,8 @@
 {
     "total_flos": 0.0,
-    "train_loss": 658.4579157842323,
-    "train_runtime": 121.6045,
     "train_samples": 28,
-    "train_samples_per_second": 2.631,
     "train_steps_per_second": 0.164
 }

 {
     "total_flos": 0.0,
+    "train_loss": 16.613859914429487,
+    "train_runtime": 122.1144,
     "train_samples": 28,
+    "train_samples_per_second": 2.62,
     "train_steps_per_second": 0.164
 }

trainer_state.json CHANGED Viewed

@@ -10,202 +10,202 @@
   "is_world_process_zero": true,
   "log_history": [
     {
-      "completion_length": 264.0,
       "epoch": 0.5714285714285714,
-      "grad_norm": 42.08466720581055,
       "kl": 0.0,
       "learning_rate": 5e-07,
       "loss": 0.0,
-      "reward": 3.3252449985593557,
-      "reward_std": 0.9225419503636658,
-      "rewards/concensus_correctness_reward_func": 0.6287499954923987,
-      "rewards/consensus_reward_func": 0.9375,
       "rewards/cumulative_reward_2": 0.0,
       "rewards/final_correctness_reward_func": 0.125,
-      "rewards/question_recreation_reward_func": 0.6809324820060283,
       "rewards/soft_format_reward_func": 0.0,
       "rewards/strict_format_reward_func": 0.15625,
-      "rewards/xmlcount_reward_func": 0.7968125026673079,
       "step": 2
     },
     {
-      "completion_length": 147.83333333333334,
       "epoch": 1.0,
-      "grad_norm": 80.87589263916016,
-      "kl": 24.280827605786424,
       "learning_rate": 4.864543104251586e-07,
-      "loss": 0.0182,
-      "reward": 4.468387395143509,
-      "reward_std": 0.848564498553363,
-      "rewards/concensus_correctness_reward_func": 1.2132500012715657,
-      "rewards/consensus_reward_func": 1.0833333333333333,
       "rewards/cumulative_reward_2": 0.0,
       "rewards/final_correctness_reward_func": 0.0,
-      "rewards/question_recreation_reward_func": 0.8425957933068275,
       "rewards/soft_format_reward_func": 0.0,
-      "rewards/strict_format_reward_func": 0.22916666666666666,
-      "rewards/xmlcount_reward_func": 1.100041667620341,
       "step": 4
     },
     {
-      "completion_length": 177.90625,
       "epoch": 1.5714285714285714,
-      "grad_norm": 680.423095703125,
-      "kl": 18.7979184682481,
       "learning_rate": 4.472851273490984e-07,
-      "loss": 0.0188,
-      "reward": 5.687123700976372,
-      "reward_std": 0.8236297178955283,
-      "rewards/concensus_correctness_reward_func": 1.6261249966919422,
-      "rewards/consensus_reward_func": 1.5625,
       "rewards/cumulative_reward_2": 0.0,
-      "rewards/final_correctness_reward_func": 0.0,
-      "rewards/question_recreation_reward_func": 0.8756237160414457,
       "rewards/soft_format_reward_func": 0.0,
-      "rewards/strict_format_reward_func": 0.421875,
-      "rewards/xmlcount_reward_func": 1.201000003144145,
       "step": 6
     },
     {
-      "completion_length": 178.33333333333334,
       "epoch": 2.0,
-      "grad_norm": 47.84727096557617,
-      "kl": 147.27345666475594,
       "learning_rate": 3.867370395306068e-07,
-      "loss": 0.1105,
-      "reward": 4.611601809660594,
-      "reward_std": 1.0027544349431992,
-      "rewards/concensus_correctness_reward_func": 1.1922499972085159,
-      "rewards/consensus_reward_func": 1.4166666666666667,
       "rewards/cumulative_reward_2": 0.0,
       "rewards/final_correctness_reward_func": 0.08333333333333333,
-      "rewards/question_recreation_reward_func": 0.6693518397708734,
       "rewards/soft_format_reward_func": 0.0,
-      "rewards/strict_format_reward_func": 0.25,
-      "rewards/xmlcount_reward_func": 1.0,
       "step": 8
     },
     {
-      "completion_length": 178.53125,
       "epoch": 2.571428571428571,
-      "grad_norm": 27.147804260253906,
-      "kl": 80.05519216996618,
       "learning_rate": 3.1137137178519977e-07,
-      "loss": 0.0801,
-      "reward": 5.480146124958992,
-      "reward_std": 0.6177240351680666,
-      "rewards/concensus_correctness_reward_func": 1.5245625004172325,
-      "rewards/consensus_reward_func": 1.6875,
       "rewards/cumulative_reward_2": 0.0,
       "rewards/final_correctness_reward_func": 0.0,
-      "rewards/question_recreation_reward_func": 0.7871148781850934,
       "rewards/soft_format_reward_func": 0.0,
-      "rewards/strict_format_reward_func": 0.328125,
-      "rewards/xmlcount_reward_func": 1.1528437547385693,
       "step": 10
     },
     {
-      "completion_length": 157.33333333333334,
       "epoch": 3.0,
-      "grad_norm": 305884992.0,
-      "kl": 8767130.840889981,
       "learning_rate": 2.2935516363191693e-07,
-      "loss": 6575.3481,
-      "reward": 4.995270060996215,
-      "reward_std": 0.5079277840753397,
-      "rewards/concensus_correctness_reward_func": 1.4502499885857105,
-      "rewards/consensus_reward_func": 1.5,
       "rewards/cumulative_reward_2": 0.0,
       "rewards/final_correctness_reward_func": 0.0,
-      "rewards/question_recreation_reward_func": 0.7452701268096765,
       "rewards/soft_format_reward_func": 0.0,
-      "rewards/strict_format_reward_func": 0.25,
-      "rewards/xmlcount_reward_func": 1.0497500002384186,
       "step": 12
     },
     {
-      "completion_length": 178.8125,
       "epoch": 3.571428571428571,
-      "grad_norm": 92443.40625,
-      "kl": 1799.8993375003338,
       "learning_rate": 1.4957614383675767e-07,
-      "loss": 1.7999,
-      "reward": 4.657655701041222,
-      "reward_std": 0.9006728196982294,
-      "rewards/concensus_correctness_reward_func": 1.1327499961480498,
-      "rewards/consensus_reward_func": 1.3125,
       "rewards/cumulative_reward_2": 0.0,
-      "rewards/final_correctness_reward_func": 0.0,
-      "rewards/question_recreation_reward_func": 0.8199994191527367,
       "rewards/soft_format_reward_func": 0.0,
-      "rewards/strict_format_reward_func": 0.28125,
-      "rewards/xmlcount_reward_func": 1.1111562475562096,
       "step": 14
     },
     {
-      "completion_length": 201.04166666666666,
       "epoch": 4.0,
-      "grad_norm": 98.52631378173828,
-      "kl": 3239.482992446671,
       "learning_rate": 8.067960709356478e-08,
-      "loss": 2.4296,
-      "reward": 5.643954157829285,
-      "reward_std": 0.48065901547670364,
-      "rewards/concensus_correctness_reward_func": 1.6312499990065892,
-      "rewards/consensus_reward_func": 1.75,
       "rewards/cumulative_reward_2": 0.0,
-      "rewards/final_correctness_reward_func": 0.08333333333333333,
-      "rewards/question_recreation_reward_func": 0.7790376245975494,
       "rewards/soft_format_reward_func": 0.0,
-      "rewards/strict_format_reward_func": 0.2708333333333333,
-      "rewards/xmlcount_reward_func": 1.12950000166893,
       "step": 16
     },
     {
-      "completion_length": 162.84375,
       "epoch": 4.571428571428571,
-      "grad_norm": 95589.8046875,
-      "kl": 2557.710035777185,
       "learning_rate": 3.013156219837776e-08,
-      "loss": 2.5577,
-      "reward": 4.27200685441494,
-      "reward_std": 1.2461569734205113,
-      "rewards/concensus_correctness_reward_func": 1.1003749994561076,
-      "rewards/consensus_reward_func": 1.3125,
       "rewards/cumulative_reward_2": 0.0,
-      "rewards/final_correctness_reward_func": 0.0,
-      "rewards/question_recreation_reward_func": 0.5906943529844284,
       "rewards/soft_format_reward_func": 0.0,
-      "rewards/strict_format_reward_func": 0.234375,
-      "rewards/xmlcount_reward_func": 1.0340625047683716,
       "step": 18
     },
     {
-      "completion_length": 237.625,
       "epoch": 5.0,
-      "grad_norm": 61205.9296875,
-      "kl": 2955.0275300908834,
       "learning_rate": 3.4096741493194193e-09,
-      "loss": 2.2163,
-      "reward": 4.560856252908707,
-      "reward_std": 1.6822008958940085,
-      "rewards/concensus_correctness_reward_func": 1.1926666647195816,
-      "rewards/consensus_reward_func": 1.4166666666666667,
       "rewards/cumulative_reward_2": 0.0,
       "rewards/final_correctness_reward_func": 0.0,
-      "rewards/question_recreation_reward_func": 0.7548146036763986,
       "rewards/soft_format_reward_func": 0.0,
-      "rewards/strict_format_reward_func": 0.3125,
-      "rewards/xmlcount_reward_func": 0.8842083265384039,
       "step": 20
     },
     {
       "epoch": 5.0,
       "step": 20,
       "total_flos": 0.0,
-      "train_loss": 658.4579157842323,
-      "train_runtime": 121.6045,
-      "train_samples_per_second": 2.631,
       "train_steps_per_second": 0.164
     }
   ],

   "is_world_process_zero": true,
   "log_history": [
     {
+      "completion_length": 213.375,
       "epoch": 0.5714285714285714,
+      "grad_norm": 83.38453674316406,
       "kl": 0.0,
       "learning_rate": 5e-07,
       "loss": 0.0,
+      "reward": 3.2702511064708233,
+      "reward_std": 1.6299662222154438,
+      "rewards/concensus_correctness_reward_func": 0.7398749957792461,
+      "rewards/consensus_reward_func": 0.875,
       "rewards/cumulative_reward_2": 0.0,
       "rewards/final_correctness_reward_func": 0.125,
+      "rewards/question_recreation_reward_func": 0.6164698153734207,
       "rewards/soft_format_reward_func": 0.0,
       "rewards/strict_format_reward_func": 0.15625,
+      "rewards/xmlcount_reward_func": 0.7576562501490116,
       "step": 2
     },
     {
+      "completion_length": 212.29166666666666,
       "epoch": 1.0,
+      "grad_norm": 27.329761505126953,
+      "kl": 4.687201510183513,
       "learning_rate": 4.864543104251586e-07,
+      "loss": 0.0035,
+      "reward": 4.18427599966526,
+      "reward_std": 1.0136302523314953,
+      "rewards/concensus_correctness_reward_func": 1.2149999936421711,
+      "rewards/consensus_reward_func": 1.1666666666666667,
       "rewards/cumulative_reward_2": 0.0,
       "rewards/final_correctness_reward_func": 0.0,
+      "rewards/question_recreation_reward_func": 0.737317735950152,
       "rewards/soft_format_reward_func": 0.0,
+      "rewards/strict_format_reward_func": 0.20833333333333334,
+      "rewards/xmlcount_reward_func": 0.8569583396116892,
       "step": 4
     },
     {
+      "completion_length": 160.25,
       "epoch": 1.5714285714285714,
+      "grad_norm": 201885.9375,
+      "kl": 2192.0195257472806,
       "learning_rate": 4.472851273490984e-07,
+      "loss": 2.192,
+      "reward": 5.087710991501808,
+      "reward_std": 0.8815780063159764,
+      "rewards/concensus_correctness_reward_func": 1.46518749371171,
+      "rewards/consensus_reward_func": 1.375,
       "rewards/cumulative_reward_2": 0.0,
+      "rewards/final_correctness_reward_func": 0.0625,
+      "rewards/question_recreation_reward_func": 0.802617306355387,
       "rewards/soft_format_reward_func": 0.0,
+      "rewards/strict_format_reward_func": 0.296875,
+      "rewards/xmlcount_reward_func": 1.0855312533676624,
       "step": 6
     },
     {
+      "completion_length": 195.54166666666666,
       "epoch": 2.0,
+      "grad_norm": 50.0317268371582,
+      "kl": 3.5268452602128186,
       "learning_rate": 3.867370395306068e-07,
+      "loss": 0.0026,
+      "reward": 4.593563541769981,
+      "reward_std": 0.8916728589683771,
+      "rewards/concensus_correctness_reward_func": 1.0393333329508703,
+      "rewards/consensus_reward_func": 1.3333333333333333,
       "rewards/cumulative_reward_2": 0.0,
       "rewards/final_correctness_reward_func": 0.08333333333333333,
+      "rewards/question_recreation_reward_func": 0.7292718101137629,
       "rewards/soft_format_reward_func": 0.0,
+      "rewards/strict_format_reward_func": 0.2916666666666667,
+      "rewards/xmlcount_reward_func": 1.116625001033147,
       "step": 8
     },
     {
+      "completion_length": 204.53125,
       "epoch": 2.571428571428571,
+      "grad_norm": 160836.5625,
+      "kl": 5804.151155915111,
       "learning_rate": 3.1137137178519977e-07,
+      "loss": 5.8042,
+      "reward": 4.655729368329048,
+      "reward_std": 1.402610547374934,
+      "rewards/concensus_correctness_reward_func": 1.261187493801117,
+      "rewards/consensus_reward_func": 1.25,
       "rewards/cumulative_reward_2": 0.0,
       "rewards/final_correctness_reward_func": 0.0,
+      "rewards/question_recreation_reward_func": 0.826385635882616,
       "rewards/soft_format_reward_func": 0.0,
+      "rewards/strict_format_reward_func": 0.25,
+      "rewards/xmlcount_reward_func": 1.068156249821186,
       "step": 10
     },
     {
+      "completion_length": 177.75,
       "epoch": 3.0,
+      "grad_norm": 39.7148551940918,
+      "kl": 194981.97983492477,
       "learning_rate": 2.2935516363191693e-07,
+      "loss": 146.2365,
+      "reward": 4.766051749388377,
+      "reward_std": 1.4179468097475667,
+      "rewards/concensus_correctness_reward_func": 1.2784999950478475,
+      "rewards/consensus_reward_func": 1.3333333333333333,
       "rewards/cumulative_reward_2": 0.0,
       "rewards/final_correctness_reward_func": 0.0,
+      "rewards/question_recreation_reward_func": 0.7705100451906522,
       "rewards/soft_format_reward_func": 0.0,
+      "rewards/strict_format_reward_func": 0.2708333333333333,
+      "rewards/xmlcount_reward_func": 1.1128749946753185,
       "step": 12
     },
     {
+      "completion_length": 189.9375,
       "epoch": 3.571428571428571,
+      "grad_norm": 3572.9052734375,
+      "kl": 128.10682729631662,
       "learning_rate": 1.4957614383675767e-07,
+      "loss": 0.1281,
+      "reward": 4.833401307463646,
+      "reward_std": 1.2682143065612763,
+      "rewards/concensus_correctness_reward_func": 1.1926249926909804,
+      "rewards/consensus_reward_func": 1.375,
       "rewards/cumulative_reward_2": 0.0,
+      "rewards/final_correctness_reward_func": 0.125,
+      "rewards/question_recreation_reward_func": 0.8134013433009386,
       "rewards/soft_format_reward_func": 0.0,
+      "rewards/strict_format_reward_func": 0.265625,
+      "rewards/xmlcount_reward_func": 1.0617499984800816,
       "step": 14
     },
     {
+      "completion_length": 178.08333333333334,
       "epoch": 4.0,
+      "grad_norm": 2833.846435546875,
+      "kl": 56.623517076174416,
       "learning_rate": 8.067960709356478e-08,
+      "loss": 0.0425,
+      "reward": 4.591517438491185,
+      "reward_std": 0.6986274433632692,
+      "rewards/concensus_correctness_reward_func": 1.2420833359162013,
+      "rewards/consensus_reward_func": 1.3333333333333333,
       "rewards/cumulative_reward_2": 0.0,
+      "rewards/final_correctness_reward_func": 0.0,
+      "rewards/question_recreation_reward_func": 0.7223091561657687,
       "rewards/soft_format_reward_func": 0.0,
+      "rewards/strict_format_reward_func": 0.2916666666666667,
+      "rewards/xmlcount_reward_func": 1.0021250049273174,
       "step": 16
     },
     {
+      "completion_length": 184.53125,
       "epoch": 4.571428571428571,
+      "grad_norm": 21946.189453125,
+      "kl": 613.7210371047258,
       "learning_rate": 3.013156219837776e-08,
+      "loss": 0.6137,
+      "reward": 4.742913171648979,
+      "reward_std": 1.4003411061130464,
+      "rewards/concensus_correctness_reward_func": 1.2864374886266887,
+      "rewards/consensus_reward_func": 1.375,
       "rewards/cumulative_reward_2": 0.0,
+      "rewards/final_correctness_reward_func": 0.0625,
+      "rewards/question_recreation_reward_func": 0.6600068942643702,
       "rewards/soft_format_reward_func": 0.0,
+      "rewards/strict_format_reward_func": 0.265625,
+      "rewards/xmlcount_reward_func": 1.0933437496423721,
       "step": 18
     },
     {
+      "completion_length": 174.625,
       "epoch": 5.0,
+      "grad_norm": 47.249473571777344,
+      "kl": 14820.684090688825,
       "learning_rate": 3.4096741493194193e-09,
+      "loss": 11.1155,
+      "reward": 4.722067733605702,
+      "reward_std": 0.8547916903917212,
+      "rewards/concensus_correctness_reward_func": 1.3415833363930385,
+      "rewards/consensus_reward_func": 1.3333333333333333,
       "rewards/cumulative_reward_2": 0.0,
       "rewards/final_correctness_reward_func": 0.0,
+      "rewards/question_recreation_reward_func": 0.8041510308782259,
       "rewards/soft_format_reward_func": 0.0,
+      "rewards/strict_format_reward_func": 0.22916666666666666,
+      "rewards/xmlcount_reward_func": 1.0138333414991696,
       "step": 20
     },
     {
       "epoch": 5.0,
       "step": 20,
       "total_flos": 0.0,
+      "train_loss": 16.613859914429487,
+      "train_runtime": 122.1144,
+      "train_samples_per_second": 2.62,
       "train_steps_per_second": 0.164
     }
   ],