Image-Text-to-Text
Transformers
Safetensors
English
qwen3_5
gptq
int4
4-bit precision
qwen3.5
quantization
agentic-coding
reasoning
conversational
Instructions to use malvavisc0/Qwable-9B-Claude-Fable-5-GPTQ-Int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malvavisc0/Qwable-9B-Claude-Fable-5-GPTQ-Int4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="malvavisc0/Qwable-9B-Claude-Fable-5-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/Qwable-9B-Claude-Fable-5-GPTQ-Int4") model = AutoModelForMultimodalLM.from_pretrained("malvavisc0/Qwable-9B-Claude-Fable-5-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/Qwable-9B-Claude-Fable-5-GPTQ-Int4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "malvavisc0/Qwable-9B-Claude-Fable-5-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/Qwable-9B-Claude-Fable-5-GPTQ-Int4", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/malvavisc0/Qwable-9B-Claude-Fable-5-GPTQ-Int4
- SGLang
How to use malvavisc0/Qwable-9B-Claude-Fable-5-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/Qwable-9B-Claude-Fable-5-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/Qwable-9B-Claude-Fable-5-GPTQ-Int4", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'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/Qwable-9B-Claude-Fable-5-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/Qwable-9B-Claude-Fable-5-GPTQ-Int4", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use malvavisc0/Qwable-9B-Claude-Fable-5-GPTQ-Int4 with Docker Model Runner:
docker model run hf.co/malvavisc0/Qwable-9B-Claude-Fable-5-GPTQ-Int4
File size: 9,607 Bytes
ec15ccb | 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,0.0002923562,0.05000,0.757
0,linear_attn.in_proj_z,0.0001466612,0.05000,0.443
0,linear_attn.out_proj,0.0000000849,0.05000,0.441
0,mlp.up_proj,0.0000033608,0.05000,1.322
0,mlp.gate_proj,0.0000038972,0.05000,1.313
0,mlp.down_proj,0.0000000298,0.05000,2.017
1,linear_attn.in_proj_qkv,0.0000253694,0.05000,0.507
1,linear_attn.in_proj_z,0.0000127770,0.05000,0.446
1,linear_attn.out_proj,0.0000000393,0.05000,0.447
1,mlp.up_proj,0.0000081792,0.05000,1.538
1,mlp.gate_proj,0.0000091871,0.05000,1.567
1,mlp.down_proj,0.0000000763,0.05000,1.959
2,linear_attn.in_proj_qkv,0.0000438525,0.05000,0.508
2,linear_attn.in_proj_z,0.0000216663,0.05000,0.444
2,linear_attn.out_proj,0.0000000682,0.05000,0.444
2,mlp.gate_proj,0.0000150929,0.05000,1.324
2,mlp.up_proj,0.0000126798,0.05000,1.331
2,mlp.down_proj,0.0000001957,0.05000,1.974
3,self_attn.k_proj,0.0000192607,0.05000,1.806
3,self_attn.q_proj,0.0001859263,0.05000,1.821
3,self_attn.v_proj,0.0000181077,0.05000,1.834
3,self_attn.o_proj,0.0000001161,0.05000,0.441
3,mlp.up_proj,0.0000181847,0.05000,1.498
3,mlp.gate_proj,0.0000201043,0.05000,1.502
3,mlp.down_proj,0.0000002504,0.05000,1.937
4,linear_attn.in_proj_qkv,0.0000795212,0.05000,0.509
4,linear_attn.in_proj_z,0.0000402917,0.05000,0.448
4,linear_attn.out_proj,0.0000001660,0.05000,0.440
4,mlp.up_proj,0.0000272368,0.05000,1.245
4,mlp.gate_proj,0.0000302054,0.05000,1.251
4,mlp.down_proj,0.0000004177,0.05000,1.985
5,linear_attn.in_proj_qkv,0.0001058409,0.05000,0.507
5,linear_attn.in_proj_z,0.0000515063,0.05000,0.443
5,linear_attn.out_proj,0.0000003372,0.05000,0.441
5,mlp.up_proj,0.0000352061,0.05000,1.595
5,mlp.gate_proj,0.0000418450,0.05000,1.607
5,mlp.down_proj,0.0000007811,0.05000,1.945
6,linear_attn.in_proj_qkv,0.0001155280,0.05000,0.504
6,linear_attn.in_proj_z,0.0000475952,0.05000,0.445
6,linear_attn.out_proj,0.0000007005,0.05000,0.444
6,mlp.gate_proj,0.0000575008,0.05000,1.463
6,mlp.up_proj,0.0000465150,0.05000,1.484
6,mlp.down_proj,0.0000013511,0.05000,1.962
7,self_attn.k_proj,0.0000173141,0.05000,1.807
7,self_attn.q_proj,0.0001302608,0.05000,1.814
7,self_attn.v_proj,0.0000149477,0.05000,1.827
7,self_attn.o_proj,0.0000008519,0.05000,0.450
7,mlp.up_proj,0.0000492923,0.05000,1.635
7,mlp.gate_proj,0.0000618966,0.05000,1.636
7,mlp.down_proj,0.0000012843,0.05000,1.960
8,linear_attn.in_proj_qkv,0.0001362903,0.05000,0.506
8,linear_attn.in_proj_z,0.0000582160,0.05000,0.443
8,linear_attn.out_proj,0.0000007473,0.05000,0.448
8,mlp.gate_proj,0.0000654837,0.05000,1.272
8,mlp.up_proj,0.0000539881,0.05000,1.283
8,mlp.down_proj,0.0000013767,0.05000,1.944
9,linear_attn.in_proj_qkv,0.0001456481,0.05000,0.509
9,linear_attn.in_proj_z,0.0000594048,0.05000,0.443
9,linear_attn.out_proj,0.0000008285,0.05000,0.446
9,mlp.gate_proj,0.0000664895,0.05000,1.591
9,mlp.up_proj,0.0000585528,0.05000,1.611
9,mlp.down_proj,0.0000015177,0.05000,1.943
10,linear_attn.in_proj_qkv,0.0001391888,0.05000,0.505
10,linear_attn.in_proj_z,0.0000545197,0.05000,0.440
10,linear_attn.out_proj,0.0000009204,0.05000,0.448
10,mlp.up_proj,0.0000611052,0.05000,1.330
10,mlp.gate_proj,0.0000634157,0.05000,1.347
10,mlp.down_proj,0.0000016957,0.05000,1.938
11,self_attn.k_proj,0.0000148096,0.05000,1.792
11,self_attn.q_proj,0.0001025371,0.05000,1.802
11,self_attn.v_proj,0.0000139872,0.05000,1.817
11,self_attn.o_proj,0.0000014906,0.05000,0.443
11,mlp.up_proj,0.0000636308,0.05000,1.240
11,mlp.gate_proj,0.0000622587,0.05000,1.257
11,mlp.down_proj,0.0000017404,0.05000,1.934
12,linear_attn.in_proj_qkv,0.0001382742,0.05000,0.506
12,linear_attn.in_proj_z,0.0000501939,0.05000,0.450
12,linear_attn.out_proj,0.0000011899,0.05000,0.448
12,mlp.gate_proj,0.0000613396,0.05000,1.444
12,mlp.up_proj,0.0000652184,0.05000,1.475
12,mlp.down_proj,0.0000018146,0.05000,1.946
13,linear_attn.in_proj_qkv,0.0001527687,0.05000,0.509
13,linear_attn.in_proj_z,0.0000576133,0.05000,0.435
13,linear_attn.out_proj,0.0000011374,0.05000,0.447
13,mlp.up_proj,0.0000669694,0.05000,1.612
13,mlp.gate_proj,0.0000618521,0.05000,1.628
13,mlp.down_proj,0.0000019409,0.05000,1.931
14,linear_attn.in_proj_qkv,0.0001479856,0.05000,0.511
14,linear_attn.in_proj_z,0.0000557005,0.05000,0.443
14,linear_attn.out_proj,0.0000018432,0.05000,0.447
14,mlp.gate_proj,0.0000602646,0.05000,1.386
14,mlp.up_proj,0.0000687781,0.05000,1.395
14,mlp.down_proj,0.0000021436,0.05000,1.947
15,self_attn.q_proj,0.0001035363,0.05000,1.816
15,self_attn.v_proj,0.0000182662,0.05000,1.835
15,self_attn.k_proj,0.0000149197,0.05000,1.844
15,self_attn.o_proj,0.0000017794,0.05000,0.440
15,mlp.gate_proj,0.0000654744,0.05000,1.591
15,mlp.up_proj,0.0000758326,0.05000,1.606
15,mlp.down_proj,0.0000024666,0.05000,1.959
16,linear_attn.in_proj_qkv,0.0001525745,0.05000,0.506
16,linear_attn.in_proj_z,0.0000568288,0.05000,0.449
16,linear_attn.out_proj,0.0000015897,0.05000,0.442
16,mlp.up_proj,0.0000812780,0.05000,1.391
16,mlp.gate_proj,0.0000707985,0.05000,1.402
16,mlp.down_proj,0.0000029527,0.05000,1.959
17,linear_attn.in_proj_qkv,0.0002041090,0.05000,0.503
17,linear_attn.in_proj_z,0.0000627605,0.05000,0.442
17,linear_attn.out_proj,0.0000018685,0.05000,0.439
17,mlp.up_proj,0.0000876574,0.05000,1.601
17,mlp.gate_proj,0.0000753859,0.05000,1.619
17,mlp.down_proj,0.0000039025,0.05000,1.941
18,linear_attn.in_proj_qkv,0.0001874450,0.05000,0.501
18,linear_attn.in_proj_z,0.0000663500,0.05000,0.450
18,linear_attn.out_proj,0.0000032130,0.05000,0.438
18,mlp.gate_proj,0.0000935092,0.05000,1.572
18,mlp.up_proj,0.0001019622,0.05000,1.592
18,mlp.down_proj,0.0000082581,0.05000,1.961
19,self_attn.k_proj,0.0000220895,0.05000,1.790
19,self_attn.q_proj,0.0001441360,0.05000,1.805
19,self_attn.v_proj,0.0000465971,0.05000,1.823
19,self_attn.o_proj,0.0000064091,0.05000,0.450
19,mlp.gate_proj,0.0001120633,0.05000,1.334
19,mlp.up_proj,0.0001273858,0.05000,1.355
19,mlp.down_proj,0.0000112897,0.05000,1.961
20,linear_attn.in_proj_qkv,0.0003139259,0.05000,0.506
20,linear_attn.in_proj_z,0.0001078105,0.05000,0.441
20,linear_attn.out_proj,0.0000030580,0.05000,0.445
20,mlp.up_proj,0.0001373163,0.05000,1.439
20,mlp.gate_proj,0.0001436044,0.05000,1.448
20,mlp.down_proj,0.0000117298,0.05000,1.940
21,linear_attn.in_proj_qkv,0.0003123837,0.05000,0.506
21,linear_attn.in_proj_z,0.0001131420,0.05000,0.447
21,linear_attn.out_proj,0.0000044404,0.05000,0.439
21,mlp.up_proj,0.0001441978,0.05000,1.432
21,mlp.gate_proj,0.0001608396,0.05000,1.442
21,mlp.down_proj,0.0000144337,0.05000,1.969
22,linear_attn.in_proj_qkv,0.0003056657,0.05000,0.500
22,linear_attn.in_proj_z,0.0001269550,0.05000,0.450
22,linear_attn.out_proj,0.0000055819,0.05000,0.448
22,mlp.gate_proj,0.0002304516,0.05000,1.337
22,mlp.up_proj,0.0001867799,0.05000,1.342
22,mlp.down_proj,0.0000269420,0.05000,1.964
23,self_attn.v_proj,0.0000701680,0.05000,1.793
23,self_attn.q_proj,0.0002147914,0.05000,1.801
23,self_attn.k_proj,0.0000358240,0.05000,1.807
23,self_attn.o_proj,0.0000100568,0.05000,0.445
23,mlp.up_proj,0.0001871019,0.05000,1.242
23,mlp.gate_proj,0.0002105997,0.05000,1.246
23,mlp.down_proj,0.0000214708,0.05000,1.961
24,linear_attn.in_proj_qkv,0.0003712067,0.05000,0.504
24,linear_attn.in_proj_z,0.0001371180,0.05000,0.440
24,linear_attn.out_proj,0.0000084203,0.05000,0.441
24,mlp.up_proj,0.0001981273,0.05000,1.262
24,mlp.gate_proj,0.0002350082,0.05000,1.264
24,mlp.down_proj,0.0000208720,0.05000,1.947
25,linear_attn.in_proj_qkv,0.0004077492,0.05000,0.507
25,linear_attn.in_proj_z,0.0001532642,0.05000,0.447
25,linear_attn.out_proj,0.0000076455,0.05000,0.445
25,mlp.gate_proj,0.0002800821,0.05000,1.241
25,mlp.up_proj,0.0002269588,0.05000,1.247
25,mlp.down_proj,0.0000223139,0.05000,1.959
26,linear_attn.in_proj_qkv,0.0003774328,0.05000,0.509
26,linear_attn.in_proj_z,0.0001634729,0.05000,0.437
26,linear_attn.out_proj,0.0000086689,0.05000,0.440
26,mlp.up_proj,0.0002674957,0.05000,1.266
26,mlp.gate_proj,0.0003367386,0.05000,1.272
26,mlp.down_proj,0.0000294222,0.05000,1.934
27,self_attn.k_proj,0.0000531112,0.05000,1.798
27,self_attn.v_proj,0.0001838021,0.05000,1.835
27,self_attn.q_proj,0.0002792344,0.05000,1.834
27,self_attn.o_proj,0.0000320682,0.05000,0.438
27,mlp.up_proj,0.0002780721,0.05000,1.264
27,mlp.gate_proj,0.0003418540,0.05000,1.281
27,mlp.down_proj,0.0000346843,0.05000,1.955
28,linear_attn.in_proj_qkv,0.0004718472,0.05000,0.497
28,linear_attn.in_proj_z,0.0001779310,0.05000,0.449
28,linear_attn.out_proj,0.0000171880,0.05000,0.442
28,mlp.gate_proj,0.0003511496,0.05000,1.426
28,mlp.up_proj,0.0002891008,0.05000,1.435
28,mlp.down_proj,0.0000412876,0.05000,1.966
29,linear_attn.in_proj_qkv,0.0003411556,0.05000,0.505
29,linear_attn.in_proj_z,0.0001564033,0.05000,0.439
29,linear_attn.out_proj,0.0000169771,0.05000,0.447
29,mlp.gate_proj,0.0003809890,0.05000,1.373
29,mlp.up_proj,0.0003110860,0.05000,1.395
29,mlp.down_proj,0.0000492641,0.05000,1.937
30,linear_attn.in_proj_qkv,0.0003637233,0.05000,0.511
30,linear_attn.in_proj_z,0.0001553133,0.05000,0.451
30,linear_attn.out_proj,0.0000314266,0.05000,0.451
30,mlp.up_proj,0.0002988835,0.05000,1.609
30,mlp.gate_proj,0.0003591503,0.05000,1.618
30,mlp.down_proj,0.0000692388,0.05000,1.969
31,self_attn.v_proj,0.0001614979,0.05000,1.466
31,self_attn.k_proj,0.0000528025,0.05000,1.486
31,self_attn.q_proj,0.0002747820,0.05000,1.487
31,self_attn.o_proj,0.0000677047,0.05000,0.453
31,mlp.gate_proj,0.0003321292,0.05000,1.419
31,mlp.up_proj,0.0002685991,0.05000,1.428
31,mlp.down_proj,0.0001504178,0.05000,1.965
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