Text Generation
Transformers
Safetensors
qwen2
conversational
text-generation-inference
4-bit precision
gptq
Instructions to use wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1") model = AutoModelForCausalLM.from_pretrained("wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1", 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]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1
- SGLang
How to use wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1 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 "wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1" \ --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": "wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1", "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 "wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1" \ --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": "wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1 with Docker Model Runner:
docker model run hf.co/wolfofbackstreet/Qwen2.5-14B-Instruct-abliterated-SFT-int4-qptq-v1
Add files using upload-large-folder tool
Browse files- config.json +53 -0
- generation_config.json +15 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +0 -0
- quant_log.csv +337 -0
- quantize_config.json +23 -0
- special_tokens_map.json +1 -7
- tokenizer_config.json +4 -3
config.json
ADDED
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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| 5 |
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"attention_dropout": 0.0,
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| 6 |
+
"bos_token_id": 151643,
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| 7 |
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"eos_token_id": 151645,
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| 8 |
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"hidden_act": "silu",
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| 9 |
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"hidden_size": 5120,
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| 10 |
+
"initializer_range": 0.02,
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| 11 |
+
"intermediate_size": 13824,
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| 12 |
+
"max_position_embeddings": 32768,
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| 13 |
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"max_window_layers": 70,
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| 14 |
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"model_type": "qwen2",
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| 15 |
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"num_attention_heads": 40,
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| 16 |
+
"num_hidden_layers": 48,
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| 17 |
+
"num_key_value_heads": 8,
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| 18 |
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"pad_token_id": 151654,
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| 19 |
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"quantization_config": {
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| 20 |
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"bits": 4,
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| 21 |
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"checkpoint_format": "gptq",
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| 22 |
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"desc_act": true,
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| 23 |
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"group_size": 128,
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"lm_head": false,
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"meta": {
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| 26 |
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"damp_auto_increment": 0.0025,
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| 27 |
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"damp_percent": 0.01,
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| 28 |
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"mse": 0.0,
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"quantizer": [
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"gptqmodel:3.0.0-dev"
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],
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"static_groups": false,
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"true_sequential": true,
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"uri": "https://github.com/modelcloud/gptqmodel",
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"v2": false,
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| 36 |
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"v2_alpha": 0.25
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| 37 |
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},
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| 38 |
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"pack_dtype": "int32",
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| 39 |
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"quant_method": "gptq",
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"sym": true
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},
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"rms_norm_eps": 1e-06,
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| 43 |
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"rope_scaling": null,
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| 44 |
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"rope_theta": 1000000.0,
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| 45 |
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"sliding_window": 131072,
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| 46 |
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"tie_word_embeddings": false,
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| 47 |
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"torch_dtype": "bfloat16",
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| 48 |
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"transformers_version": "4.51.3",
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| 49 |
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"unsloth_version": "2025.3.19",
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| 50 |
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"use_cache": true,
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| 51 |
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"max_length": 32768,
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"pad_token_id": 151654,
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"repetition_penalty": 1.05,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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| 14 |
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"transformers_version": "4.51.3"
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}
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model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8e66c0b5075929375481d19d055019bf1173350fced939930a449cc84c677715
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size 3991846296
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:10b4d0cbc1a128bbd68e009279aa068736e2876de9e4f78b5fbeb023f967d55f
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size 3973264384
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model-00003-of-00003.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:a5f76c42979138d5d169c08c0d85fe791246fdd972facc7676e9d6ae7fbc1dea
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| 3 |
+
size 2023648928
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model.safetensors.index.json
ADDED
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The diff for this file is too large to render.
See raw diff
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quant_log.csv
ADDED
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|
| 1 |
+
layer,module,loss,samples,damp,time
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| 2 |
+
0,self_attn.k_proj,0.0000003350,0.01000,5.202
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| 3 |
+
0,self_attn.v_proj,0.0000000692,0.01000,1.844
|
| 4 |
+
0,self_attn.q_proj,0.0000009049,0.01000,1.880
|
| 5 |
+
0,self_attn.o_proj,0.0000004881,0.01000,1.923
|
| 6 |
+
0,mlp.up_proj,0.0000004013,0.01000,1.959
|
| 7 |
+
0,mlp.gate_proj,0.0000004576,0.01000,1.880
|
| 8 |
+
0,mlp.down_proj,0.0000007120,0.01000,5.411
|
| 9 |
+
1,self_attn.k_proj,0.0000000157,0.01000,1.819
|
| 10 |
+
1,self_attn.v_proj,0.0000000055,0.01000,1.832
|
| 11 |
+
1,self_attn.q_proj,0.0000000621,0.01000,1.861
|
| 12 |
+
1,self_attn.o_proj,0.0000000086,0.01000,1.840
|
| 13 |
+
1,mlp.up_proj,0.0000019768,0.01000,1.867
|
| 14 |
+
1,mlp.gate_proj,0.0000052508,0.01000,1.905
|
| 15 |
+
1,mlp.down_proj,0.0000000906,0.01000,5.419
|
| 16 |
+
2,self_attn.k_proj,0.0000000728,0.01000,1.801
|
| 17 |
+
2,self_attn.v_proj,0.0000000179,0.01000,1.823
|
| 18 |
+
2,self_attn.q_proj,0.0000002062,0.01000,1.857
|
| 19 |
+
2,self_attn.o_proj,0.0000000600,0.01000,1.846
|
| 20 |
+
2,mlp.up_proj,0.0000047215,0.01000,1.878
|
| 21 |
+
2,mlp.gate_proj,0.0000087961,0.01000,1.884
|
| 22 |
+
2,mlp.down_proj,0.0000003970,0.01000,5.470
|
| 23 |
+
3,self_attn.k_proj,0.0000004315,0.01000,1.840
|
| 24 |
+
3,self_attn.v_proj,0.0000000883,0.01000,1.846
|
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| 242 |
+
34,self_attn.q_proj,0.0000341429,0.01000,1.885
|
| 243 |
+
34,self_attn.o_proj,0.0000067946,0.01000,1.856
|
| 244 |
+
34,mlp.up_proj,0.0000866891,0.01000,1.940
|
| 245 |
+
34,mlp.gate_proj,0.0000821586,0.01000,1.923
|
| 246 |
+
34,mlp.down_proj,0.0000472456,0.01000,5.538
|
| 247 |
+
35,self_attn.k_proj,0.0000078382,0.01000,1.832
|
| 248 |
+
35,self_attn.v_proj,0.0000078588,0.01000,1.848
|
| 249 |
+
35,self_attn.q_proj,0.0000307812,0.01000,1.875
|
| 250 |
+
35,self_attn.o_proj,0.0000096358,0.01000,1.873
|
| 251 |
+
35,mlp.up_proj,0.0000986368,0.01000,1.889
|
| 252 |
+
35,mlp.gate_proj,0.0000958261,0.01000,1.897
|
| 253 |
+
35,mlp.down_proj,0.0000586797,0.01000,5.461
|
| 254 |
+
36,self_attn.k_proj,0.0000090568,0.01000,1.851
|
| 255 |
+
36,self_attn.v_proj,0.0000142979,0.01000,1.868
|
| 256 |
+
36,self_attn.q_proj,0.0000390433,0.01000,1.896
|
| 257 |
+
36,self_attn.o_proj,0.0000102853,0.01000,1.869
|
| 258 |
+
36,mlp.up_proj,0.0001096456,0.01000,1.909
|
| 259 |
+
36,mlp.gate_proj,0.0001053176,0.01000,1.931
|
| 260 |
+
36,mlp.down_proj,0.0000745272,0.01000,5.534
|
| 261 |
+
37,self_attn.k_proj,0.0000102921,0.01000,1.848
|
| 262 |
+
37,self_attn.v_proj,0.0000139348,0.01000,1.863
|
| 263 |
+
37,self_attn.q_proj,0.0000407019,0.01000,1.867
|
| 264 |
+
37,self_attn.o_proj,0.0000112271,0.01000,1.845
|
| 265 |
+
37,mlp.up_proj,0.0001245920,0.01000,1.890
|
| 266 |
+
37,mlp.gate_proj,0.0001196814,0.01000,1.926
|
| 267 |
+
37,mlp.down_proj,0.0000844956,0.01000,5.465
|
| 268 |
+
38,self_attn.k_proj,0.0000101334,0.01000,1.887
|
| 269 |
+
38,self_attn.v_proj,0.0000142629,0.01000,1.838
|
| 270 |
+
38,self_attn.q_proj,0.0000413608,0.01000,1.892
|
| 271 |
+
38,self_attn.o_proj,0.0000118424,0.01000,1.871
|
| 272 |
+
38,mlp.up_proj,0.0001422509,0.01000,1.891
|
| 273 |
+
38,mlp.gate_proj,0.0001351870,0.01000,1.920
|
| 274 |
+
38,mlp.down_proj,0.0001002093,0.01000,5.430
|
| 275 |
+
39,self_attn.k_proj,0.0000097654,0.01000,1.844
|
| 276 |
+
39,self_attn.v_proj,0.0000155185,0.01000,1.888
|
| 277 |
+
39,self_attn.q_proj,0.0000430024,0.01000,1.902
|
| 278 |
+
39,self_attn.o_proj,0.0000163587,0.01000,1.880
|
| 279 |
+
39,mlp.up_proj,0.0001594624,0.01000,1.870
|
| 280 |
+
39,mlp.gate_proj,0.0001501404,0.01000,1.908
|
| 281 |
+
39,mlp.down_proj,0.0001202485,0.01000,5.403
|
| 282 |
+
40,self_attn.k_proj,0.0000111764,0.01000,1.822
|
| 283 |
+
40,self_attn.v_proj,0.0000212190,0.01000,1.853
|
| 284 |
+
40,self_attn.q_proj,0.0000477737,0.01000,1.863
|
| 285 |
+
40,self_attn.o_proj,0.0000136626,0.01000,1.917
|
| 286 |
+
40,mlp.up_proj,0.0001759011,0.01000,1.878
|
| 287 |
+
40,mlp.gate_proj,0.0001646361,0.01000,1.906
|
| 288 |
+
40,mlp.down_proj,0.0001423487,0.01000,5.481
|
| 289 |
+
41,self_attn.k_proj,0.0000109057,0.01000,1.806
|
| 290 |
+
41,self_attn.v_proj,0.0000228068,0.01000,1.848
|
| 291 |
+
41,self_attn.q_proj,0.0000501279,0.01000,1.862
|
| 292 |
+
41,self_attn.o_proj,0.0000127372,0.01000,1.870
|
| 293 |
+
41,mlp.up_proj,0.0001938302,0.01000,1.888
|
| 294 |
+
41,mlp.gate_proj,0.0001788286,0.01000,1.896
|
| 295 |
+
41,mlp.down_proj,0.0001654244,0.01000,5.465
|
| 296 |
+
42,self_attn.k_proj,0.0000115910,0.01000,1.799
|
| 297 |
+
42,self_attn.v_proj,0.0000252338,0.01000,1.854
|
| 298 |
+
42,self_attn.q_proj,0.0000493074,0.01000,1.908
|
| 299 |
+
42,self_attn.o_proj,0.0000177375,0.01000,1.901
|
| 300 |
+
42,mlp.up_proj,0.0002140352,0.01000,1.900
|
| 301 |
+
42,mlp.gate_proj,0.0001944924,0.01000,1.989
|
| 302 |
+
42,mlp.down_proj,0.0002010431,0.01000,5.499
|
| 303 |
+
43,self_attn.k_proj,0.0000116256,0.01000,1.842
|
| 304 |
+
43,self_attn.v_proj,0.0000351566,0.01000,1.835
|
| 305 |
+
43,self_attn.q_proj,0.0000555932,0.01000,1.879
|
| 306 |
+
43,self_attn.o_proj,0.0000282134,0.01000,1.866
|
| 307 |
+
43,mlp.up_proj,0.0002366024,0.01000,1.882
|
| 308 |
+
43,mlp.gate_proj,0.0002109463,0.01000,1.936
|
| 309 |
+
43,mlp.down_proj,0.0002490418,0.01000,5.505
|
| 310 |
+
44,self_attn.k_proj,0.0000108512,0.01000,1.829
|
| 311 |
+
44,self_attn.v_proj,0.0000399018,0.01000,1.854
|
| 312 |
+
44,self_attn.q_proj,0.0000559182,0.01000,1.900
|
| 313 |
+
44,self_attn.o_proj,0.0000437074,0.01000,1.848
|
| 314 |
+
44,mlp.up_proj,0.0002603794,0.01000,1.894
|
| 315 |
+
44,mlp.gate_proj,0.0002283661,0.01000,1.903
|
| 316 |
+
44,mlp.down_proj,0.0003450318,0.01000,5.481
|
| 317 |
+
45,self_attn.k_proj,0.0000117965,0.01000,1.829
|
| 318 |
+
45,self_attn.v_proj,0.0000507443,0.01000,1.858
|
| 319 |
+
45,self_attn.q_proj,0.0000629527,0.01000,1.856
|
| 320 |
+
45,self_attn.o_proj,0.0000391735,0.01000,1.854
|
| 321 |
+
45,mlp.up_proj,0.0002976336,0.01000,1.929
|
| 322 |
+
45,mlp.gate_proj,0.0002640414,0.01000,1.947
|
| 323 |
+
45,mlp.down_proj,0.0004670114,0.01000,5.500
|
| 324 |
+
46,self_attn.k_proj,0.0000111906,0.01000,1.809
|
| 325 |
+
46,self_attn.v_proj,0.0000567153,0.01000,1.836
|
| 326 |
+
46,self_attn.q_proj,0.0000597288,0.01000,1.873
|
| 327 |
+
46,self_attn.o_proj,0.0000797118,0.01000,1.855
|
| 328 |
+
46,mlp.up_proj,0.0003228503,0.01000,1.910
|
| 329 |
+
46,mlp.gate_proj,0.0002994808,0.01000,1.913
|
| 330 |
+
46,mlp.down_proj,0.0006974383,0.01000,5.564
|
| 331 |
+
47,self_attn.k_proj,0.0000108451,0.01000,1.835
|
| 332 |
+
47,self_attn.v_proj,0.0000401424,0.01000,1.841
|
| 333 |
+
47,self_attn.q_proj,0.0000495196,0.01000,1.875
|
| 334 |
+
47,self_attn.o_proj,0.0000524342,0.01000,1.869
|
| 335 |
+
47,mlp.up_proj,0.0003880085,0.01000,1.914
|
| 336 |
+
47,mlp.gate_proj,0.0003715118,0.01000,1.928
|
| 337 |
+
47,mlp.down_proj,0.0010730910,0.01000,5.509
|
quantize_config.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bits": 4,
|
| 3 |
+
"group_size": 128,
|
| 4 |
+
"desc_act": true,
|
| 5 |
+
"sym": true,
|
| 6 |
+
"lm_head": false,
|
| 7 |
+
"quant_method": "gptq",
|
| 8 |
+
"checkpoint_format": "gptq",
|
| 9 |
+
"pack_dtype": "int32",
|
| 10 |
+
"meta": {
|
| 11 |
+
"quantizer": [
|
| 12 |
+
"gptqmodel:3.0.0-dev"
|
| 13 |
+
],
|
| 14 |
+
"uri": "https://github.com/modelcloud/gptqmodel",
|
| 15 |
+
"damp_percent": 0.01,
|
| 16 |
+
"damp_auto_increment": 0.0025,
|
| 17 |
+
"static_groups": false,
|
| 18 |
+
"true_sequential": true,
|
| 19 |
+
"mse": 0.0,
|
| 20 |
+
"v2": false,
|
| 21 |
+
"v2_alpha": 0.25
|
| 22 |
+
}
|
| 23 |
+
}
|
special_tokens_map.json
CHANGED
|
@@ -21,11 +21,5 @@
|
|
| 21 |
"rstrip": false,
|
| 22 |
"single_word": false
|
| 23 |
},
|
| 24 |
-
"pad_token":
|
| 25 |
-
"content": "<|vision_pad|>",
|
| 26 |
-
"lstrip": false,
|
| 27 |
-
"normalized": false,
|
| 28 |
-
"rstrip": false,
|
| 29 |
-
"single_word": false
|
| 30 |
-
}
|
| 31 |
}
|
|
|
|
| 21 |
"rstrip": false,
|
| 22 |
"single_word": false
|
| 23 |
},
|
| 24 |
+
"pad_token": "<|vision_pad|>"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 25 |
}
|
tokenizer_config.json
CHANGED
|
@@ -207,6 +207,7 @@
|
|
| 207 |
"pad_token_type_id": 0,
|
| 208 |
"padding_side": "left",
|
| 209 |
"split_special_tokens": false,
|
| 210 |
-
"tokenizer_class": "
|
| 211 |
-
"unk_token": null
|
| 212 |
-
|
|
|
|
|
|
| 207 |
"pad_token_type_id": 0,
|
| 208 |
"padding_side": "left",
|
| 209 |
"split_special_tokens": false,
|
| 210 |
+
"tokenizer_class": "Qwen2TokenizerFast",
|
| 211 |
+
"unk_token": null,
|
| 212 |
+
"_commit_hash": null
|
| 213 |
+
}
|