Text Generation
Transformers
Safetensors
qwen3_5
image-text-to-text
gptq
int4
vllm
agentic-coding
conversational
4-bit precision
Instructions to use malvavisc0/OxCoder-9B-gptq-int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malvavisc0/OxCoder-9B-gptq-int4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="malvavisc0/OxCoder-9B-gptq-int4") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("malvavisc0/OxCoder-9B-gptq-int4") model = AutoModelForMultimodalLM.from_pretrained("malvavisc0/OxCoder-9B-gptq-int4", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use malvavisc0/OxCoder-9B-gptq-int4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "malvavisc0/OxCoder-9B-gptq-int4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "malvavisc0/OxCoder-9B-gptq-int4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/malvavisc0/OxCoder-9B-gptq-int4
- SGLang
How to use malvavisc0/OxCoder-9B-gptq-int4 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 "malvavisc0/OxCoder-9B-gptq-int4" \ --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": "malvavisc0/OxCoder-9B-gptq-int4", "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 "malvavisc0/OxCoder-9B-gptq-int4" \ --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": "malvavisc0/OxCoder-9B-gptq-int4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use malvavisc0/OxCoder-9B-gptq-int4 with Docker Model Runner:
docker model run hf.co/malvavisc0/OxCoder-9B-gptq-int4
File size: 9,607 Bytes
3129d52 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 | layer,module,loss,samples,damp,time
0,linear_attn.in_proj_qkv,0.0000512330,0.05000,0.753
0,linear_attn.in_proj_z,0.0000258486,0.05000,0.439
0,linear_attn.out_proj,0.0000000288,0.05000,0.438
0,mlp.gate_proj,0.0000006692,0.05000,1.283
0,mlp.up_proj,0.0000005881,0.05000,1.321
0,mlp.down_proj,0.0000000033,0.05000,2.023
1,linear_attn.in_proj_qkv,0.0000058743,0.05000,0.505
1,linear_attn.in_proj_z,0.0000030396,0.05000,0.441
1,linear_attn.out_proj,0.0000000073,0.05000,0.443
1,mlp.gate_proj,0.0000017216,0.05000,1.314
1,mlp.up_proj,0.0000015407,0.05000,1.320
1,mlp.down_proj,0.0000000096,0.05000,1.996
2,linear_attn.in_proj_qkv,0.0000102022,0.05000,0.508
2,linear_attn.in_proj_z,0.0000051198,0.05000,0.442
2,linear_attn.out_proj,0.0000000120,0.05000,0.438
2,mlp.up_proj,0.0000024092,0.05000,1.574
2,mlp.gate_proj,0.0000028889,0.05000,1.579
2,mlp.down_proj,0.0000000213,0.05000,1.979
3,self_attn.q_proj,0.0000457913,0.05000,1.437
3,self_attn.v_proj,0.0000040927,0.05000,1.443
3,self_attn.k_proj,0.0000045126,0.05000,1.448
3,self_attn.o_proj,0.0000000247,0.05000,0.442
3,mlp.up_proj,0.0000033437,0.05000,1.295
3,mlp.gate_proj,0.0000037084,0.05000,1.303
3,mlp.down_proj,0.0000000310,0.05000,1.934
4,linear_attn.in_proj_qkv,0.0000166285,0.05000,0.504
4,linear_attn.in_proj_z,0.0000084468,0.05000,0.441
4,linear_attn.out_proj,0.0000000281,0.05000,0.433
4,mlp.up_proj,0.0000054035,0.05000,1.541
4,mlp.gate_proj,0.0000060489,0.05000,1.560
4,mlp.down_proj,0.0000000529,0.05000,1.950
5,linear_attn.in_proj_qkv,0.0000234676,0.05000,0.497
5,linear_attn.in_proj_z,0.0000116633,0.05000,0.438
5,linear_attn.out_proj,0.0000000641,0.05000,0.438
5,mlp.gate_proj,0.0000087650,0.05000,1.280
5,mlp.up_proj,0.0000072798,0.05000,1.282
5,mlp.down_proj,0.0000001020,0.05000,1.931
6,linear_attn.in_proj_qkv,0.0000271829,0.05000,0.499
6,linear_attn.in_proj_z,0.0000114913,0.05000,0.442
6,linear_attn.out_proj,0.0000001114,0.05000,0.441
6,mlp.gate_proj,0.0000125882,0.05000,1.596
6,mlp.up_proj,0.0000099671,0.05000,1.624
6,mlp.down_proj,0.0000001583,0.05000,1.969
7,self_attn.q_proj,0.0000327816,0.05000,1.793
7,self_attn.k_proj,0.0000040194,0.05000,1.808
7,self_attn.v_proj,0.0000034953,0.05000,1.826
7,self_attn.o_proj,0.0000001741,0.05000,0.441
7,mlp.gate_proj,0.0000132600,0.05000,1.668
7,mlp.up_proj,0.0000104244,0.05000,1.672
7,mlp.down_proj,0.0000001733,0.05000,1.950
8,linear_attn.in_proj_qkv,0.0000301906,0.05000,0.507
8,linear_attn.in_proj_z,0.0000130997,0.05000,0.447
8,linear_attn.out_proj,0.0000001314,0.05000,0.437
8,mlp.up_proj,0.0000114845,0.05000,1.308
8,mlp.gate_proj,0.0000140776,0.05000,1.313
8,mlp.down_proj,0.0000001827,0.05000,1.964
9,linear_attn.in_proj_qkv,0.0000328663,0.05000,0.503
9,linear_attn.in_proj_z,0.0000136644,0.05000,0.436
9,linear_attn.out_proj,0.0000001533,0.05000,0.435
9,mlp.up_proj,0.0000123621,0.05000,1.654
9,mlp.gate_proj,0.0000141435,0.05000,1.675
9,mlp.down_proj,0.0000002136,0.05000,1.915
10,linear_attn.in_proj_qkv,0.0000313985,0.05000,0.500
10,linear_attn.in_proj_z,0.0000127113,0.05000,0.440
10,linear_attn.out_proj,0.0000001706,0.05000,0.435
10,mlp.gate_proj,0.0000139577,0.05000,1.244
10,mlp.up_proj,0.0000133629,0.05000,1.249
10,mlp.down_proj,0.0000002500,0.05000,1.933
11,self_attn.q_proj,0.0000255943,0.05000,1.750
11,self_attn.k_proj,0.0000034389,0.05000,1.761
11,self_attn.v_proj,0.0000033088,0.05000,1.785
11,self_attn.o_proj,0.0000003653,0.05000,0.439
11,mlp.gate_proj,0.0000142216,0.05000,1.447
11,mlp.up_proj,0.0000144107,0.05000,1.477
11,mlp.down_proj,0.0000002969,0.05000,1.908
12,linear_attn.in_proj_qkv,0.0000334196,0.05000,0.499
12,linear_attn.in_proj_z,0.0000123923,0.05000,0.439
12,linear_attn.out_proj,0.0000002414,0.05000,0.437
12,mlp.gate_proj,0.0000144687,0.05000,1.479
12,mlp.up_proj,0.0000152860,0.05000,1.505
12,mlp.down_proj,0.0000003427,0.05000,1.941
13,linear_attn.in_proj_qkv,0.0000387516,0.05000,0.497
13,linear_attn.in_proj_z,0.0000150452,0.05000,0.446
13,linear_attn.out_proj,0.0000002380,0.05000,0.434
13,mlp.gate_proj,0.0000151776,0.05000,1.609
13,mlp.up_proj,0.0000163668,0.05000,1.639
13,mlp.down_proj,0.0000003871,0.05000,1.940
14,linear_attn.in_proj_qkv,0.0000384952,0.05000,0.496
14,linear_attn.in_proj_z,0.0000148005,0.05000,0.444
14,linear_attn.out_proj,0.0000003604,0.05000,0.436
14,mlp.gate_proj,0.0000154822,0.05000,1.289
14,mlp.up_proj,0.0000175342,0.05000,1.295
14,mlp.down_proj,0.0000004424,0.05000,1.960
15,self_attn.k_proj,0.0000037890,0.05000,1.564
15,self_attn.q_proj,0.0000281934,0.05000,1.579
15,self_attn.v_proj,0.0000048000,0.05000,1.587
15,self_attn.o_proj,0.0000006070,0.05000,0.435
15,mlp.gate_proj,0.0000170689,0.05000,1.280
15,mlp.up_proj,0.0000197788,0.05000,1.285
15,mlp.down_proj,0.0000006178,0.05000,1.924
16,linear_attn.in_proj_qkv,0.0000414585,0.05000,0.497
16,linear_attn.in_proj_z,0.0000157437,0.05000,0.434
16,linear_attn.out_proj,0.0000004966,0.05000,0.435
16,mlp.gate_proj,0.0000189846,0.05000,1.235
16,mlp.up_proj,0.0000219061,0.05000,1.240
16,mlp.down_proj,0.0000008104,0.05000,1.911
17,linear_attn.in_proj_qkv,0.0000563444,0.05000,0.498
17,linear_attn.in_proj_z,0.0000180389,0.05000,0.437
17,linear_attn.out_proj,0.0000006251,0.05000,0.434
17,mlp.gate_proj,0.0000202587,0.05000,1.301
17,mlp.up_proj,0.0000241804,0.05000,1.309
17,mlp.down_proj,0.0000010840,0.05000,1.916
18,linear_attn.in_proj_qkv,0.0000529036,0.05000,0.503
18,linear_attn.in_proj_z,0.0000192245,0.05000,0.440
18,linear_attn.out_proj,0.0000010398,0.05000,0.437
18,mlp.up_proj,0.0000281983,0.05000,1.249
18,mlp.gate_proj,0.0000245166,0.05000,1.264
18,mlp.down_proj,0.0000020065,0.05000,1.944
19,self_attn.k_proj,0.0000058760,0.05000,1.776
19,self_attn.v_proj,0.0000109502,0.05000,1.784
19,self_attn.q_proj,0.0000395083,0.05000,1.813
19,self_attn.o_proj,0.0000026417,0.05000,0.442
19,mlp.gate_proj,0.0000300821,0.05000,1.619
19,mlp.up_proj,0.0000356534,0.05000,1.640
19,mlp.down_proj,0.0000029585,0.05000,1.944
20,linear_attn.in_proj_qkv,0.0000828392,0.05000,0.502
20,linear_attn.in_proj_z,0.0000297302,0.05000,0.434
20,linear_attn.out_proj,0.0000014146,0.05000,0.443
20,mlp.gate_proj,0.0000373262,0.05000,1.534
20,mlp.up_proj,0.0000371792,0.05000,1.553
20,mlp.down_proj,0.0000031579,0.05000,1.929
21,linear_attn.in_proj_qkv,0.0000811663,0.05000,0.509
21,linear_attn.in_proj_z,0.0000304235,0.05000,0.448
21,linear_attn.out_proj,0.0000018507,0.05000,0.433
21,mlp.up_proj,0.0000391224,0.05000,1.600
21,mlp.gate_proj,0.0000418820,0.05000,1.611
21,mlp.down_proj,0.0000040956,0.05000,1.939
22,linear_attn.in_proj_qkv,0.0000800213,0.05000,0.499
22,linear_attn.in_proj_z,0.0000346308,0.05000,0.434
22,linear_attn.out_proj,0.0000020605,0.05000,0.439
22,mlp.up_proj,0.0000500837,0.05000,1.472
22,mlp.gate_proj,0.0000592674,0.05000,1.478
22,mlp.down_proj,0.0000062517,0.05000,1.917
23,self_attn.k_proj,0.0000078460,0.05000,1.776
23,self_attn.v_proj,0.0000156147,0.05000,1.789
23,self_attn.q_proj,0.0000542049,0.05000,1.805
23,self_attn.o_proj,0.0000037408,0.05000,0.437
23,mlp.gate_proj,0.0000577355,0.05000,1.643
23,mlp.up_proj,0.0000519635,0.05000,1.649
23,mlp.down_proj,0.0000051992,0.05000,1.916
24,linear_attn.in_proj_qkv,0.0000934729,0.05000,0.496
24,linear_attn.in_proj_z,0.0000357742,0.05000,0.435
24,linear_attn.out_proj,0.0000029748,0.05000,0.444
24,mlp.gate_proj,0.0000614639,0.05000,1.246
24,mlp.up_proj,0.0000522009,0.05000,1.247
24,mlp.down_proj,0.0000049123,0.05000,1.916
25,linear_attn.in_proj_qkv,0.0000965361,0.05000,0.508
25,linear_attn.in_proj_z,0.0000383143,0.05000,0.433
25,linear_attn.out_proj,0.0000024083,0.05000,0.435
25,mlp.gate_proj,0.0000721219,0.05000,1.608
25,mlp.up_proj,0.0000587548,0.05000,1.623
25,mlp.down_proj,0.0000050382,0.05000,1.904
26,linear_attn.in_proj_qkv,0.0000897841,0.05000,0.500
26,linear_attn.in_proj_z,0.0000403678,0.05000,0.430
26,linear_attn.out_proj,0.0000030055,0.05000,0.441
26,mlp.gate_proj,0.0000864327,0.05000,1.388
26,mlp.up_proj,0.0000691804,0.05000,1.407
26,mlp.down_proj,0.0000069061,0.05000,1.903
27,self_attn.k_proj,0.0000103169,0.05000,1.737
27,self_attn.q_proj,0.0000655058,0.05000,1.744
27,self_attn.v_proj,0.0000380844,0.05000,1.761
27,self_attn.o_proj,0.0000103013,0.05000,0.432
27,mlp.gate_proj,0.0000873213,0.05000,1.345
27,mlp.up_proj,0.0000718302,0.05000,1.352
27,mlp.down_proj,0.0000074708,0.05000,1.926
28,linear_attn.in_proj_qkv,0.0001090263,0.05000,0.499
28,linear_attn.in_proj_z,0.0000431458,0.05000,0.435
28,linear_attn.out_proj,0.0000066057,0.05000,0.436
28,mlp.up_proj,0.0000736457,0.05000,1.536
28,mlp.gate_proj,0.0000876350,0.05000,1.543
28,mlp.down_proj,0.0000099431,0.05000,1.923
29,linear_attn.in_proj_qkv,0.0000821576,0.05000,0.498
29,linear_attn.in_proj_z,0.0000386130,0.05000,0.439
29,linear_attn.out_proj,0.0000073645,0.05000,0.438
29,mlp.gate_proj,0.0000951019,0.05000,1.261
29,mlp.up_proj,0.0000801801,0.05000,1.267
29,mlp.down_proj,0.0000127125,0.05000,1.922
30,linear_attn.in_proj_qkv,0.0000864302,0.05000,0.506
30,linear_attn.in_proj_z,0.0000373503,0.05000,0.436
30,linear_attn.out_proj,0.0000150087,0.05000,0.431
30,mlp.gate_proj,0.0000910522,0.05000,1.601
30,mlp.up_proj,0.0000784964,0.05000,1.615
30,mlp.down_proj,0.0000179220,0.05000,1.920
31,self_attn.v_proj,0.0000322213,0.05000,1.749
31,self_attn.k_proj,0.0000086426,0.05000,1.755
31,self_attn.q_proj,0.0000653408,0.05000,1.787
31,self_attn.o_proj,0.0000210914,0.05000,0.436
31,mlp.gate_proj,0.0000866345,0.05000,1.648
31,mlp.up_proj,0.0000729714,0.05000,1.655
31,mlp.down_proj,0.0000323485,0.05000,1.933
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