upload model
#1
by
linzhao-amd - opened
This view is limited to 50 files because it contains too many changes.
See the raw diff here.
- .gitattributes +2 -0
- chat_template.jinja +86 -0
- config.json +1060 -0
- generation_config.json +12 -0
- model-00001-of-00282.safetensors +3 -0
- model-00002-of-00282.safetensors +3 -0
- model-00003-of-00282.safetensors +3 -0
- model-00004-of-00282.safetensors +3 -0
- model-00005-of-00282.safetensors +3 -0
- model-00006-of-00282.safetensors +3 -0
- model-00007-of-00282.safetensors +3 -0
- model-00008-of-00282.safetensors +3 -0
- model-00009-of-00282.safetensors +3 -0
- model-00010-of-00282.safetensors +3 -0
- model-00011-of-00282.safetensors +3 -0
- model-00012-of-00282.safetensors +3 -0
- model-00013-of-00282.safetensors +3 -0
- model-00014-of-00282.safetensors +3 -0
- model-00015-of-00282.safetensors +3 -0
- model-00016-of-00282.safetensors +3 -0
- model-00017-of-00282.safetensors +3 -0
- model-00018-of-00282.safetensors +3 -0
- model-00019-of-00282.safetensors +3 -0
- model-00020-of-00282.safetensors +3 -0
- model-00021-of-00282.safetensors +3 -0
- model-00022-of-00282.safetensors +3 -0
- model-00023-of-00282.safetensors +3 -0
- model-00024-of-00282.safetensors +3 -0
- model-00025-of-00282.safetensors +3 -0
- model-00026-of-00282.safetensors +3 -0
- model-00027-of-00282.safetensors +3 -0
- model-00028-of-00282.safetensors +3 -0
- model-00029-of-00282.safetensors +3 -0
- model-00030-of-00282.safetensors +3 -0
- model-00031-of-00282.safetensors +3 -0
- model-00032-of-00282.safetensors +3 -0
- model-00033-of-00282.safetensors +3 -0
- model-00034-of-00282.safetensors +3 -0
- model-00035-of-00282.safetensors +3 -0
- model-00036-of-00282.safetensors +3 -0
- model-00037-of-00282.safetensors +3 -0
- model-00038-of-00282.safetensors +3 -0
- model-00039-of-00282.safetensors +3 -0
- model-00040-of-00282.safetensors +3 -0
- model-00041-of-00282.safetensors +3 -0
- model-00042-of-00282.safetensors +3 -0
- model-00043-of-00282.safetensors +3 -0
- model-00044-of-00282.safetensors +3 -0
- model-00045-of-00282.safetensors +3 -0
- model-00046-of-00282.safetensors +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
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| 37 |
+
model.safetensors.index.json filter=lfs diff=lfs merge=lfs -text
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chat_template.jinja
ADDED
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@@ -0,0 +1,86 @@
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| 1 |
+
[gMASK]<sop>
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| 2 |
+
{%- if tools -%}
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+
<|system|>
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# Tools
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+
You may call one or more functions to assist with the user query.
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You are provided with function signatures within <tools></tools> XML tags:
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<tools>
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{% for tool in tools %}
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{{ tool | tojson(ensure_ascii=False) }}
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{% endfor %}
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</tools>
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+
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+
For each function call, output the function name and arguments within the following XML format:
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<tool_call>{function-name}<arg_key>{arg-key-1}</arg_key><arg_value>{arg-value-1}</arg_value><arg_key>{arg-key-2}</arg_key><arg_value>{arg-value-2}</arg_value>...</tool_call>{%- endif -%}
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{%- macro visible_text(content) -%}
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{%- if content is string -%}
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{{- content }}
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{%- elif content is iterable and content is not mapping -%}
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{%- for item in content -%}
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{%- if item is mapping and item.type == 'text' -%}
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{{- item.text }}
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{%- elif item is string -%}
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{{- item }}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{{- content }}
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{%- endif -%}
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{%- endmacro -%}
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{%- set ns = namespace(last_user_index=-1) %}
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{%- for m in messages %}
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{%- if m.role == 'user' %}
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{% set ns.last_user_index = loop.index0 -%}
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{%- endif %}
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{%- endfor %}
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{% for m in messages %}
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{%- if m.role == 'user' -%}<|user|>{{ visible_text(m.content) }}
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{%- elif m.role == 'assistant' -%}
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<|assistant|>
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{%- set reasoning_content = '' %}
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{%- set content = visible_text(m.content) %}
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{%- if m.reasoning_content is string %}
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{%- set reasoning_content = m.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if ((clear_thinking is defined and not clear_thinking) or loop.index0 > ns.last_user_index) and reasoning_content -%}
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{{ '<think>' + reasoning_content.strip() + '</think>'}}
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{%- else -%}
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{{ '</think>' }}
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{%- endif -%}
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{%- if content.strip() -%}
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{{ content.strip() }}
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{%- endif -%}
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{% if m.tool_calls %}
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{% for tc in m.tool_calls %}
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{%- if tc.function %}
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{%- set tc = tc.function %}
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{%- endif %}
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{{- '<tool_call>' + tc.name -}}
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{% set _args = tc.arguments %}{% for k, v in _args.items() %}<arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>{% endfor %}</tool_call>{% endfor %}
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{% endif %}
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{%- elif m.role == 'tool' -%}
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{%- if m.content is string -%}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|observation|>' }}
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{%- endif %}
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{{- '<tool_response>' }}
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{{- m.content }}
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{{- '</tool_response>' }}
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{%- else -%}
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<|observation|>{% for tr in m.content %}
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<tool_response>{{ tr.output if tr.output is defined else tr }}</tool_response>{% endfor -%}
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{% endif -%}
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{%- elif m.role == 'system' -%}
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<|system|>{{ visible_text(m.content) }}
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{%- endif -%}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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<|assistant|>{{- '</think>' if (enable_thinking is defined and not enable_thinking) else '<think>' -}}
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{%- endif -%}
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config.json
ADDED
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@@ -0,0 +1,1060 @@
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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"GlmMoeDsaForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"dtype": "bfloat16",
|
| 8 |
+
"eos_token_id": [
|
| 9 |
+
154820,
|
| 10 |
+
154827,
|
| 11 |
+
154829
|
| 12 |
+
],
|
| 13 |
+
"ep_size": 1,
|
| 14 |
+
"first_k_dense_replace": 3,
|
| 15 |
+
"hidden_act": "silu",
|
| 16 |
+
"head_dim": 64,
|
| 17 |
+
"hidden_size": 6144,
|
| 18 |
+
"index_head_dim": 128,
|
| 19 |
+
"index_n_heads": 32,
|
| 20 |
+
"index_topk": 2048,
|
| 21 |
+
"indexer_rope_interleave": true,
|
| 22 |
+
"initializer_range": 0.02,
|
| 23 |
+
"intermediate_size": 12288,
|
| 24 |
+
"kv_lora_rank": 512,
|
| 25 |
+
"max_position_embeddings": 202752,
|
| 26 |
+
"moe_intermediate_size": 2048,
|
| 27 |
+
"moe_layer_freq": 1,
|
| 28 |
+
"model_type": "glm_moe_dsa",
|
| 29 |
+
"n_group": 1,
|
| 30 |
+
"n_routed_experts": 256,
|
| 31 |
+
"n_shared_experts": 1,
|
| 32 |
+
"norm_topk_prob": true,
|
| 33 |
+
"num_attention_heads": 64,
|
| 34 |
+
"num_experts_per_tok": 8,
|
| 35 |
+
"num_hidden_layers": 78,
|
| 36 |
+
"num_key_value_heads": 64,
|
| 37 |
+
"num_nextn_predict_layers": 1,
|
| 38 |
+
"pad_token_id": 154820,
|
| 39 |
+
"pretraining_tp": 1,
|
| 40 |
+
"q_lora_rank": 2048,
|
| 41 |
+
"qk_head_dim": 256,
|
| 42 |
+
"qk_nope_head_dim": 192,
|
| 43 |
+
"qk_rope_head_dim": 64,
|
| 44 |
+
"rms_norm_eps": 1e-05,
|
| 45 |
+
"rope_interleave": true,
|
| 46 |
+
"rope_parameters": {
|
| 47 |
+
"rope_theta": 1000000,
|
| 48 |
+
"rope_type": "default"
|
| 49 |
+
},
|
| 50 |
+
"routed_scaling_factor": 2.5,
|
| 51 |
+
"scoring_func": "sigmoid",
|
| 52 |
+
"tie_word_embeddings": false,
|
| 53 |
+
"topk_group": 1,
|
| 54 |
+
"topk_method": "noaux_tc",
|
| 55 |
+
"transformers_version": "5.0.2.dev0",
|
| 56 |
+
"use_cache": true,
|
| 57 |
+
"v_head_dim": 256,
|
| 58 |
+
"vocab_size": 154880,
|
| 59 |
+
"quantization_config": {
|
| 60 |
+
"global_quant_config": {
|
| 61 |
+
"input_tensors": {
|
| 62 |
+
"dtype": "fp4",
|
| 63 |
+
"is_dynamic": true,
|
| 64 |
+
"qscheme": "per_group",
|
| 65 |
+
"ch_axis": -1,
|
| 66 |
+
"group_size": 32,
|
| 67 |
+
"symmetric": null,
|
| 68 |
+
"round_method": "half_even",
|
| 69 |
+
"scale_type": "float",
|
| 70 |
+
"scale_format": "e8m0",
|
| 71 |
+
"scale_calculation_mode": "even",
|
| 72 |
+
"mx_element_dtype": null,
|
| 73 |
+
"observer_cls": "PerBlockMXObserver",
|
| 74 |
+
"is_scale_quant": false
|
| 75 |
+
},
|
| 76 |
+
"output_tensors": null,
|
| 77 |
+
"weight": {
|
| 78 |
+
"dtype": "fp4",
|
| 79 |
+
"is_dynamic": false,
|
| 80 |
+
"qscheme": "per_group",
|
| 81 |
+
"ch_axis": -1,
|
| 82 |
+
"group_size": 32,
|
| 83 |
+
"symmetric": null,
|
| 84 |
+
"round_method": "half_even",
|
| 85 |
+
"scale_type": "float",
|
| 86 |
+
"scale_format": "e8m0",
|
| 87 |
+
"scale_calculation_mode": "even",
|
| 88 |
+
"mx_element_dtype": null,
|
| 89 |
+
"observer_cls": "PerBlockMXObserver",
|
| 90 |
+
"is_scale_quant": false
|
| 91 |
+
},
|
| 92 |
+
"bias": null,
|
| 93 |
+
"target_device": null
|
| 94 |
+
},
|
| 95 |
+
"exclude": [
|
| 96 |
+
"lm_head",
|
| 97 |
+
"model.layers.0.mlp.down_proj",
|
| 98 |
+
"model.layers.0.mlp.gate_proj",
|
| 99 |
+
"model.layers.0.mlp.up_proj",
|
| 100 |
+
"model.layers.0.self_attn.indexer.weights_proj",
|
| 101 |
+
"model.layers.0.self_attn.indexer.wk",
|
| 102 |
+
"model.layers.0.self_attn.indexer.wq_b",
|
| 103 |
+
"model.layers.0.self_attn.kv_a_proj_with_mqa",
|
| 104 |
+
"model.layers.0.self_attn.kv_b_proj",
|
| 105 |
+
"model.layers.0.self_attn.o_proj",
|
| 106 |
+
"model.layers.0.self_attn.q_a_proj",
|
| 107 |
+
"model.layers.0.self_attn.q_b_proj",
|
| 108 |
+
"model.layers.1.mlp.down_proj",
|
| 109 |
+
"model.layers.1.mlp.gate_proj",
|
| 110 |
+
"model.layers.1.mlp.up_proj",
|
| 111 |
+
"model.layers.1.self_attn.indexer.weights_proj",
|
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