Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- qwen25-1p5b__gptq__openhermes__n32__s0/BENCH_DONE +1 -0
- qwen25-1p5b__gptq__openhermes__n32__s0/chat_template.jinja +54 -0
- qwen25-1p5b__gptq__openhermes__n32__s0/config.json +108 -0
- qwen25-1p5b__gptq__openhermes__n32__s0/generation_config.json +14 -0
- qwen25-1p5b__gptq__openhermes__n32__s0/model.safetensors +3 -0
- qwen25-1p5b__gptq__openhermes__n32__s0/quant_log.csv +197 -0
- qwen25-1p5b__gptq__openhermes__n32__s0/quantize_config.json +47 -0
- qwen25-1p5b__gptq__openhermes__n32__s0/tokenizer.json +3 -0
- qwen25-1p5b__gptq__openhermes__n32__s0/tokenizer_config.json +30 -0
.gitattributes
CHANGED
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@@ -55,3 +55,4 @@ qwen25-1p5b__awq__wikitext2__n512__s2/tokenizer.json filter=lfs diff=lfs merge=l
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qwen25-1p5b__gptq__openhermes__n128__s0/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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qwen25-1p5b__gptq__openhermes__n128__s1/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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qwen25-1p5b__gptq__openhermes__n128__s2/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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| 55 |
qwen25-1p5b__gptq__openhermes__n128__s0/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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| 56 |
qwen25-1p5b__gptq__openhermes__n128__s1/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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| 57 |
qwen25-1p5b__gptq__openhermes__n128__s2/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+
qwen25-1p5b__gptq__openhermes__n32__s0/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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qwen25-1p5b__gptq__openhermes__n32__s0/BENCH_DONE
ADDED
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2026-07-30T19:47:35.883273+00:00
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qwen25-1p5b__gptq__openhermes__n32__s0/chat_template.jinja
ADDED
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{%- if tools %}
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| 2 |
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{{- '<|im_start|>system\n' }}
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| 3 |
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{%- if messages[0]['role'] == 'system' %}
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| 4 |
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{{- messages[0]['content'] }}
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{%- else %}
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| 6 |
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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| 9 |
+
{%- for tool in tools %}
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| 10 |
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{{- "\n" }}
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| 11 |
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{{- tool | tojson }}
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| 12 |
+
{%- endfor %}
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| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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| 14 |
+
{%- else %}
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| 15 |
+
{%- if messages[0]['role'] == 'system' %}
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| 16 |
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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| 17 |
+
{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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| 19 |
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{%- endif %}
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| 20 |
+
{%- endif %}
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| 21 |
+
{%- for message in messages %}
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| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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| 24 |
+
{%- elif message.role == "assistant" %}
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| 25 |
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{{- '<|im_start|>' + message.role }}
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| 26 |
+
{%- if message.content %}
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| 27 |
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{{- '\n' + message.content }}
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| 28 |
+
{%- endif %}
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| 29 |
+
{%- for tool_call in message.tool_calls %}
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| 30 |
+
{%- if tool_call.function is defined %}
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| 31 |
+
{%- set tool_call = tool_call.function %}
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| 32 |
+
{%- endif %}
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| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
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| 34 |
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{{- tool_call.name }}
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| 35 |
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{{- '", "arguments": ' }}
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| 36 |
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{{- tool_call.arguments | tojson }}
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| 37 |
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{{- '}\n</tool_call>' }}
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| 38 |
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{%- endfor %}
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| 39 |
+
{{- '<|im_end|>\n' }}
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| 40 |
+
{%- elif message.role == "tool" %}
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| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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| 42 |
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{{- '<|im_start|>user' }}
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| 43 |
+
{%- endif %}
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| 44 |
+
{{- '\n<tool_response>\n' }}
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| 45 |
+
{{- message.content }}
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| 46 |
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{{- '\n</tool_response>' }}
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| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
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| 52 |
+
{%- if add_generation_prompt %}
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| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
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qwen25-1p5b__gptq__openhermes__n32__s0/config.json
ADDED
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@@ -0,0 +1,108 @@
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| 1 |
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{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 151643,
|
| 7 |
+
"dtype": "bfloat16",
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 1536,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 8960,
|
| 13 |
+
"layer_types": [
|
| 14 |
+
"full_attention",
|
| 15 |
+
"full_attention",
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention"
|
| 42 |
+
],
|
| 43 |
+
"max_position_embeddings": 32768,
|
| 44 |
+
"max_window_layers": 21,
|
| 45 |
+
"model_type": "qwen2",
|
| 46 |
+
"num_attention_heads": 12,
|
| 47 |
+
"num_hidden_layers": 28,
|
| 48 |
+
"num_key_value_heads": 2,
|
| 49 |
+
"pad_token_id": 151643,
|
| 50 |
+
"quantization_config": {
|
| 51 |
+
"bits": 4,
|
| 52 |
+
"checkpoint_format": "gptq",
|
| 53 |
+
"desc_act": true,
|
| 54 |
+
"format": "gptq",
|
| 55 |
+
"group_size": 128,
|
| 56 |
+
"lm_head": false,
|
| 57 |
+
"meta": {
|
| 58 |
+
"act_group_aware": false,
|
| 59 |
+
"auto_forward_data_parallel": true,
|
| 60 |
+
"damp_auto_increment": 0.01,
|
| 61 |
+
"damp_percent": 0.01,
|
| 62 |
+
"dense_vram_strategy": "exclusive",
|
| 63 |
+
"dense_vram_strategy_devices": null,
|
| 64 |
+
"fallback": {
|
| 65 |
+
"smooth": null,
|
| 66 |
+
"strategy": "rtn",
|
| 67 |
+
"threshold": "0.5%"
|
| 68 |
+
},
|
| 69 |
+
"foem": null,
|
| 70 |
+
"gc_mode": "interval",
|
| 71 |
+
"gptaq": null,
|
| 72 |
+
"hessian": {
|
| 73 |
+
"chunk_bytes": null,
|
| 74 |
+
"chunk_size": null,
|
| 75 |
+
"staging_dtype": "float32"
|
| 76 |
+
},
|
| 77 |
+
"mock_quantization": false,
|
| 78 |
+
"moe_vram_strategy": "exclusive",
|
| 79 |
+
"moe_vram_strategy_devices": null,
|
| 80 |
+
"mse": 0.0,
|
| 81 |
+
"offload_to_disk": true,
|
| 82 |
+
"offload_to_disk_path": "/tmp/gptqmodel__61vewvg",
|
| 83 |
+
"pack_impl": "cpu",
|
| 84 |
+
"quantizer": [
|
| 85 |
+
"gptqmodel:7.3.2"
|
| 86 |
+
],
|
| 87 |
+
"static_groups": false,
|
| 88 |
+
"true_sequential": true,
|
| 89 |
+
"uri": "https://github.com/modelcloud/gptqmodel",
|
| 90 |
+
"wait_for_submodule_finalizers": false
|
| 91 |
+
},
|
| 92 |
+
"method": "gptq",
|
| 93 |
+
"pack_dtype": "int32",
|
| 94 |
+
"quant_method": "gptq",
|
| 95 |
+
"sym": true
|
| 96 |
+
},
|
| 97 |
+
"rms_norm_eps": 1e-06,
|
| 98 |
+
"rope_parameters": {
|
| 99 |
+
"rope_theta": 1000000.0,
|
| 100 |
+
"rope_type": "default"
|
| 101 |
+
},
|
| 102 |
+
"sliding_window": null,
|
| 103 |
+
"tie_word_embeddings": true,
|
| 104 |
+
"transformers_version": "5.14.1",
|
| 105 |
+
"use_cache": true,
|
| 106 |
+
"use_sliding_window": false,
|
| 107 |
+
"vocab_size": 151936
|
| 108 |
+
}
|
qwen25-1p5b__gptq__openhermes__n32__s0/generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
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| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"repetition_penalty": 1.1,
|
| 10 |
+
"temperature": 0.7,
|
| 11 |
+
"top_k": 20,
|
| 12 |
+
"top_p": 0.8,
|
| 13 |
+
"transformers_version": "5.14.1"
|
| 14 |
+
}
|
qwen25-1p5b__gptq__openhermes__n32__s0/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b92cff49a3a787995ba9dd9751171d1b99d35ada78de73656402e19feb0ff406
|
| 3 |
+
size 1149862904
|
qwen25-1p5b__gptq__openhermes__n32__s0/quant_log.csv
ADDED
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@@ -0,0 +1,197 @@
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|
| 1 |
+
layer,module,loss,samples,damp,time
|
| 2 |
+
0,self_attn.v_proj,0.0000020834,0.01000,2.060
|
| 3 |
+
0,self_attn.k_proj,0.0000176541,0.01000,2.098
|
| 4 |
+
0,self_attn.q_proj,0.0001276330,0.01000,2.684
|
| 5 |
+
0,self_attn.o_proj,0.0000047300,0.01000,0.361
|
| 6 |
+
0,mlp.up_proj,0.0000370357,0.01000,1.075
|
| 7 |
+
0,mlp.gate_proj,0.0000540409,0.01000,1.076
|
| 8 |
+
0,mlp.down_proj,0.0000071419,0.01000,2.361
|
| 9 |
+
1,self_attn.k_proj,0.0000059025,0.01000,2.556
|
| 10 |
+
1,self_attn.q_proj,0.0000198304,0.01000,2.569
|
| 11 |
+
1,self_attn.v_proj,0.0000013156,0.01000,2.573
|
| 12 |
+
1,self_attn.o_proj,0.0000018447,0.01000,0.362
|
| 13 |
+
1,mlp.gate_proj,0.0014893073,0.01000,1.101
|
| 14 |
+
1,mlp.up_proj,0.0012117501,0.01000,1.108
|
| 15 |
+
1,mlp.down_proj,0.0000489216,0.01000,2.326
|
| 16 |
+
2,self_attn.k_proj,0.0000132288,0.01000,2.013
|
| 17 |
+
2,self_attn.v_proj,0.0000054253,0.01000,2.022
|
| 18 |
+
2,self_attn.q_proj,0.0000607698,0.01000,2.030
|
| 19 |
+
2,self_attn.o_proj,0.0000037189,0.01000,0.357
|
| 20 |
+
2,mlp.gate_proj,0.0013010863,0.01000,0.972
|
| 21 |
+
2,mlp.up_proj,0.0008090108,0.01000,0.976
|
| 22 |
+
2,mlp.down_proj,0.0001190941,0.01000,2.342
|
| 23 |
+
3,self_attn.v_proj,0.0000069397,0.01000,2.307
|
| 24 |
+
3,self_attn.q_proj,0.0000612554,0.01000,2.325
|
| 25 |
+
3,self_attn.k_proj,0.0000132472,0.01000,2.342
|
| 26 |
+
3,self_attn.o_proj,0.0000050829,0.01000,0.417
|
| 27 |
+
3,mlp.gate_proj,0.0010632540,0.01000,1.086
|
| 28 |
+
3,mlp.up_proj,0.0005604170,0.01000,1.086
|
| 29 |
+
3,mlp.down_proj,0.0000204422,0.01000,2.406
|
| 30 |
+
4,self_attn.k_proj,0.0000160793,0.01000,2.123
|
| 31 |
+
4,self_attn.q_proj,0.0000797214,0.01000,2.139
|
| 32 |
+
4,self_attn.v_proj,0.0000099129,0.01000,2.138
|
| 33 |
+
4,self_attn.o_proj,0.0000061317,0.01000,0.372
|
| 34 |
+
4,mlp.up_proj,0.0004416855,0.01000,1.024
|
| 35 |
+
4,mlp.gate_proj,0.0007389767,0.01000,1.032
|
| 36 |
+
4,mlp.down_proj,0.0000257749,0.01000,2.400
|
| 37 |
+
5,self_attn.v_proj,0.0000120897,0.01000,1.940
|
| 38 |
+
5,self_attn.q_proj,0.0000818509,0.01000,1.943
|
| 39 |
+
5,self_attn.k_proj,0.0000176819,0.01000,1.948
|
| 40 |
+
5,self_attn.o_proj,0.0000093754,0.01000,0.371
|
| 41 |
+
5,mlp.gate_proj,0.0013717632,0.01000,1.051
|
| 42 |
+
5,mlp.up_proj,0.0008845133,0.01000,1.055
|
| 43 |
+
5,mlp.down_proj,0.0000200023,0.01000,2.399
|
| 44 |
+
6,self_attn.k_proj,0.0000222980,0.01000,2.074
|
| 45 |
+
6,self_attn.v_proj,0.0000079562,0.01000,2.083
|
| 46 |
+
6,self_attn.q_proj,0.0001019688,0.01000,2.085
|
| 47 |
+
6,self_attn.o_proj,0.0000046860,0.01000,0.369
|
| 48 |
+
6,mlp.up_proj,0.0003195295,0.01000,0.993
|
| 49 |
+
6,mlp.gate_proj,0.0003873956,0.01000,1.000
|
| 50 |
+
6,mlp.down_proj,0.0000255939,0.01000,2.410
|
| 51 |
+
7,self_attn.v_proj,0.0000067185,0.01000,1.974
|
| 52 |
+
7,self_attn.k_proj,0.0000094263,0.01000,1.984
|
| 53 |
+
7,self_attn.q_proj,0.0000450430,0.01000,1.983
|
| 54 |
+
7,self_attn.o_proj,0.0000063096,0.01000,0.376
|
| 55 |
+
7,mlp.up_proj,0.0003084687,0.01000,1.061
|
| 56 |
+
7,mlp.gate_proj,0.0003288548,0.01000,1.069
|
| 57 |
+
7,mlp.down_proj,0.0000280133,0.01000,2.395
|
| 58 |
+
8,self_attn.k_proj,0.0000175547,0.01000,1.910
|
| 59 |
+
8,self_attn.q_proj,0.0001005995,0.01000,1.913
|
| 60 |
+
8,self_attn.v_proj,0.0000090524,0.01000,1.925
|
| 61 |
+
8,self_attn.o_proj,0.0000082432,0.01000,0.378
|
| 62 |
+
8,mlp.gate_proj,0.0003424078,0.01000,1.025
|
| 63 |
+
8,mlp.up_proj,0.0003129040,0.01000,1.024
|
| 64 |
+
8,mlp.down_proj,0.0000262705,0.01000,2.435
|
| 65 |
+
9,self_attn.v_proj,0.0000081740,0.01000,1.976
|
| 66 |
+
9,self_attn.k_proj,0.0000161603,0.01000,1.992
|
| 67 |
+
9,self_attn.q_proj,0.0000750347,0.01000,2.000
|
| 68 |
+
9,self_attn.o_proj,0.0000077320,0.01000,0.372
|
| 69 |
+
9,mlp.gate_proj,0.0003128085,0.01000,1.085
|
| 70 |
+
9,mlp.up_proj,0.0003010466,0.01000,1.090
|
| 71 |
+
9,mlp.down_proj,0.0000261451,0.01000,2.397
|
| 72 |
+
10,self_attn.q_proj,0.0000821740,0.01000,1.847
|
| 73 |
+
10,self_attn.k_proj,0.0000165500,0.01000,1.891
|
| 74 |
+
10,self_attn.v_proj,0.0000130357,0.01000,1.902
|
| 75 |
+
10,self_attn.o_proj,0.0000120086,0.01000,0.378
|
| 76 |
+
10,mlp.up_proj,0.0002915118,0.01000,1.057
|
| 77 |
+
10,mlp.gate_proj,0.0003087381,0.01000,1.065
|
| 78 |
+
10,mlp.down_proj,0.0000248115,0.01000,2.415
|
| 79 |
+
11,self_attn.k_proj,0.0000156780,0.01000,1.953
|
| 80 |
+
11,self_attn.v_proj,0.0000103703,0.01000,1.963
|
| 81 |
+
11,self_attn.q_proj,0.0000780832,0.01000,1.973
|
| 82 |
+
11,self_attn.o_proj,0.0000110246,0.01000,0.370
|
| 83 |
+
11,mlp.up_proj,0.0002595717,0.01000,1.024
|
| 84 |
+
11,mlp.gate_proj,0.0002949891,0.01000,1.025
|
| 85 |
+
11,mlp.down_proj,0.0000204014,0.01000,2.566
|
| 86 |
+
12,self_attn.v_proj,0.0000097997,0.01000,2.441
|
| 87 |
+
12,self_attn.k_proj,0.0000202686,0.01000,2.534
|
| 88 |
+
12,self_attn.q_proj,0.0000947941,0.01000,2.560
|
| 89 |
+
12,self_attn.o_proj,0.0000084988,0.01000,0.383
|
| 90 |
+
12,mlp.up_proj,0.0002568589,0.01000,1.188
|
| 91 |
+
12,mlp.gate_proj,0.0002777640,0.01000,1.191
|
| 92 |
+
12,mlp.down_proj,0.0000223483,0.01000,2.450
|
| 93 |
+
13,self_attn.k_proj,0.0000119050,0.01000,2.123
|
| 94 |
+
13,self_attn.v_proj,0.0000077215,0.01000,2.141
|
| 95 |
+
13,self_attn.q_proj,0.0000580722,0.01000,2.147
|
| 96 |
+
13,self_attn.o_proj,0.0000090184,0.01000,0.385
|
| 97 |
+
13,mlp.up_proj,0.0002481807,0.01000,1.236
|
| 98 |
+
13,mlp.gate_proj,0.0002574256,0.01000,1.247
|
| 99 |
+
13,mlp.down_proj,0.0000194326,0.01000,2.481
|
| 100 |
+
14,self_attn.k_proj,0.0000203928,0.01000,2.475
|
| 101 |
+
14,self_attn.q_proj,0.0001335194,0.01000,2.487
|
| 102 |
+
14,self_attn.v_proj,0.0000137005,0.01000,2.498
|
| 103 |
+
14,self_attn.o_proj,0.0000082271,0.01000,0.367
|
| 104 |
+
14,mlp.up_proj,0.0002811617,0.01000,1.163
|
| 105 |
+
14,mlp.gate_proj,0.0002740660,0.01000,1.172
|
| 106 |
+
14,mlp.down_proj,0.0000230261,0.01000,2.381
|
| 107 |
+
15,self_attn.q_proj,0.0001809574,0.01000,2.012
|
| 108 |
+
15,self_attn.k_proj,0.0000148189,0.01000,2.011
|
| 109 |
+
15,self_attn.v_proj,0.0000129424,0.01000,2.014
|
| 110 |
+
15,self_attn.o_proj,0.0000133767,0.01000,0.371
|
| 111 |
+
15,mlp.gate_proj,0.0002440097,0.01000,1.066
|
| 112 |
+
15,mlp.up_proj,0.0002331825,0.01000,1.067
|
| 113 |
+
15,mlp.down_proj,0.0000193872,0.01000,2.416
|
| 114 |
+
16,self_attn.q_proj,0.0001028245,0.01000,2.136
|
| 115 |
+
16,self_attn.k_proj,0.0000194030,0.01000,2.150
|
| 116 |
+
16,self_attn.v_proj,0.0000144218,0.01000,2.158
|
| 117 |
+
16,self_attn.o_proj,0.0000101135,0.01000,0.375
|
| 118 |
+
16,mlp.gate_proj,0.0002755708,0.01000,1.016
|
| 119 |
+
16,mlp.up_proj,0.0002699093,0.01000,1.019
|
| 120 |
+
16,mlp.down_proj,0.0000247917,0.01000,2.495
|
| 121 |
+
17,self_attn.k_proj,0.0000120863,0.01000,2.099
|
| 122 |
+
17,self_attn.q_proj,0.0000999787,0.01000,2.117
|
| 123 |
+
17,self_attn.v_proj,0.0000197001,0.01000,2.118
|
| 124 |
+
17,self_attn.o_proj,0.0000097061,0.01000,0.372
|
| 125 |
+
17,mlp.gate_proj,0.0002843303,0.01000,1.039
|
| 126 |
+
17,mlp.up_proj,0.0002841974,0.01000,1.044
|
| 127 |
+
17,mlp.down_proj,0.0000317277,0.01000,2.391
|
| 128 |
+
18,self_attn.q_proj,0.0000833432,0.01000,1.887
|
| 129 |
+
18,self_attn.v_proj,0.0000141546,0.01000,1.898
|
| 130 |
+
18,self_attn.k_proj,0.0000142513,0.01000,1.904
|
| 131 |
+
18,self_attn.o_proj,0.0000154230,0.01000,0.371
|
| 132 |
+
18,mlp.up_proj,0.0003153065,0.01000,1.124
|
| 133 |
+
18,mlp.gate_proj,0.0003178762,0.01000,1.133
|
| 134 |
+
18,mlp.down_proj,0.0000422229,0.01000,2.392
|
| 135 |
+
19,self_attn.k_proj,0.0000167379,0.01000,1.866
|
| 136 |
+
19,self_attn.v_proj,0.0000280943,0.01000,1.863
|
| 137 |
+
19,self_attn.q_proj,0.0001188181,0.01000,1.884
|
| 138 |
+
19,self_attn.o_proj,0.0000183452,0.01000,0.377
|
| 139 |
+
19,mlp.up_proj,0.0004004333,0.01000,1.015
|
| 140 |
+
19,mlp.gate_proj,0.0003760823,0.01000,1.017
|
| 141 |
+
19,mlp.down_proj,0.0000726843,0.01000,2.391
|
| 142 |
+
20,self_attn.k_proj,0.0000199490,0.01000,2.216
|
| 143 |
+
20,self_attn.v_proj,0.0000383125,0.01000,2.231
|
| 144 |
+
20,self_attn.q_proj,0.0001312840,0.01000,2.237
|
| 145 |
+
20,self_attn.o_proj,0.0000286156,0.01000,0.376
|
| 146 |
+
20,mlp.up_proj,0.0004348257,0.01000,1.104
|
| 147 |
+
20,mlp.gate_proj,0.0004232714,0.01000,1.112
|
| 148 |
+
20,mlp.down_proj,0.0000746108,0.01000,2.389
|
| 149 |
+
21,self_attn.q_proj,0.0001355440,0.01000,1.887
|
| 150 |
+
21,self_attn.k_proj,0.0000192428,0.01000,1.897
|
| 151 |
+
21,self_attn.v_proj,0.0000351260,0.01000,1.897
|
| 152 |
+
21,self_attn.o_proj,0.0000182280,0.01000,0.371
|
| 153 |
+
21,mlp.gate_proj,0.0006129590,0.01000,1.068
|
| 154 |
+
21,mlp.up_proj,0.0006137914,0.01000,1.068
|
| 155 |
+
21,mlp.down_proj,0.0001197038,0.01000,2.389
|
| 156 |
+
22,self_attn.v_proj,0.0000424657,0.01000,1.869
|
| 157 |
+
22,self_attn.k_proj,0.0000219346,0.01000,1.872
|
| 158 |
+
22,self_attn.q_proj,0.0001265007,0.01000,1.877
|
| 159 |
+
22,self_attn.o_proj,0.0000256934,0.01000,0.368
|
| 160 |
+
22,mlp.up_proj,0.0007074713,0.01000,1.114
|
| 161 |
+
22,mlp.gate_proj,0.0007144916,0.01000,1.123
|
| 162 |
+
22,mlp.down_proj,0.0001547436,0.01000,2.394
|
| 163 |
+
23,self_attn.v_proj,0.0000532147,0.01000,2.035
|
| 164 |
+
23,self_attn.q_proj,0.0001576166,0.01000,2.051
|
| 165 |
+
23,self_attn.k_proj,0.0000242450,0.01000,2.054
|
| 166 |
+
23,self_attn.o_proj,0.0000284315,0.01000,0.374
|
| 167 |
+
23,mlp.up_proj,0.0007699123,0.01000,1.053
|
| 168 |
+
23,mlp.gate_proj,0.0007395010,0.01000,1.057
|
| 169 |
+
23,mlp.down_proj,0.0001709232,0.01000,2.388
|
| 170 |
+
24,self_attn.k_proj,0.0000261033,0.01000,1.888
|
| 171 |
+
24,self_attn.v_proj,0.0001065366,0.01000,1.892
|
| 172 |
+
24,self_attn.q_proj,0.0001617301,0.01000,1.901
|
| 173 |
+
24,self_attn.o_proj,0.0000387156,0.01000,0.369
|
| 174 |
+
24,mlp.gate_proj,0.0007430573,0.01000,1.054
|
| 175 |
+
24,mlp.up_proj,0.0008003731,0.01000,1.059
|
| 176 |
+
24,mlp.down_proj,0.0002000452,0.01000,2.396
|
| 177 |
+
25,self_attn.v_proj,0.0001627064,0.01000,1.903
|
| 178 |
+
25,self_attn.k_proj,0.0000278878,0.01000,1.915
|
| 179 |
+
25,self_attn.q_proj,0.0001578732,0.01000,1.915
|
| 180 |
+
25,self_attn.o_proj,0.0000456240,0.01000,0.378
|
| 181 |
+
25,mlp.up_proj,0.0008555091,0.01000,1.054
|
| 182 |
+
25,mlp.gate_proj,0.0007450755,0.01000,1.062
|
| 183 |
+
25,mlp.down_proj,0.0002553797,0.01000,2.421
|
| 184 |
+
26,self_attn.k_proj,0.0000282830,0.01000,1.929
|
| 185 |
+
26,self_attn.v_proj,0.0002085737,0.01000,1.938
|
| 186 |
+
26,self_attn.q_proj,0.0001851321,0.01000,1.949
|
| 187 |
+
26,self_attn.o_proj,0.0000302229,0.01000,0.384
|
| 188 |
+
26,mlp.up_proj,0.0008509027,0.01000,1.155
|
| 189 |
+
26,mlp.gate_proj,0.0007135598,0.01000,1.166
|
| 190 |
+
26,mlp.down_proj,0.0004016290,0.01000,2.465
|
| 191 |
+
27,self_attn.k_proj,0.0000291468,0.01000,2.051
|
| 192 |
+
27,self_attn.q_proj,0.0001840187,0.01000,2.070
|
| 193 |
+
27,self_attn.v_proj,0.0002103980,0.01000,2.084
|
| 194 |
+
27,self_attn.o_proj,0.0001110255,0.01000,0.381
|
| 195 |
+
27,mlp.gate_proj,0.0009392411,0.01000,1.108
|
| 196 |
+
27,mlp.up_proj,0.0009807142,0.01000,1.128
|
| 197 |
+
27,mlp.down_proj,0.0004393744,0.01000,2.458
|
qwen25-1p5b__gptq__openhermes__n32__s0/quantize_config.json
ADDED
|
@@ -0,0 +1,47 @@
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bits": 4,
|
| 3 |
+
"group_size": 128,
|
| 4 |
+
"desc_act": true,
|
| 5 |
+
"lm_head": false,
|
| 6 |
+
"method": "gptq",
|
| 7 |
+
"quant_method": "gptq",
|
| 8 |
+
"format": "gptq",
|
| 9 |
+
"checkpoint_format": "gptq",
|
| 10 |
+
"pack_dtype": "int32",
|
| 11 |
+
"meta": {
|
| 12 |
+
"quantizer": [
|
| 13 |
+
"gptqmodel:7.3.2"
|
| 14 |
+
],
|
| 15 |
+
"uri": "https://github.com/modelcloud/gptqmodel",
|
| 16 |
+
"damp_percent": 0.01,
|
| 17 |
+
"damp_auto_increment": 0.01,
|
| 18 |
+
"static_groups": false,
|
| 19 |
+
"true_sequential": true,
|
| 20 |
+
"mse": 0.0,
|
| 21 |
+
"gptaq": null,
|
| 22 |
+
"foem": null,
|
| 23 |
+
"act_group_aware": false,
|
| 24 |
+
"fallback": {
|
| 25 |
+
"strategy": "rtn",
|
| 26 |
+
"threshold": "0.5%",
|
| 27 |
+
"smooth": null
|
| 28 |
+
},
|
| 29 |
+
"offload_to_disk": true,
|
| 30 |
+
"offload_to_disk_path": "/tmp/gptqmodel__61vewvg",
|
| 31 |
+
"pack_impl": "cpu",
|
| 32 |
+
"gc_mode": "interval",
|
| 33 |
+
"wait_for_submodule_finalizers": false,
|
| 34 |
+
"auto_forward_data_parallel": true,
|
| 35 |
+
"dense_vram_strategy": "exclusive",
|
| 36 |
+
"dense_vram_strategy_devices": null,
|
| 37 |
+
"moe_vram_strategy": "exclusive",
|
| 38 |
+
"moe_vram_strategy_devices": null,
|
| 39 |
+
"mock_quantization": false,
|
| 40 |
+
"hessian": {
|
| 41 |
+
"chunk_size": null,
|
| 42 |
+
"chunk_bytes": null,
|
| 43 |
+
"staging_dtype": "float32"
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
"sym": true
|
| 47 |
+
}
|
qwen25-1p5b__gptq__openhermes__n32__s0/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
qwen25-1p5b__gptq__openhermes__n32__s0/tokenizer_config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"local_files_only": false,
|
| 25 |
+
"model_max_length": 131072,
|
| 26 |
+
"pad_token": "<|endoftext|>",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null
|
| 30 |
+
}
|