TheDrummer commited on
Commit
cecc9ca
·
verified ·
1 Parent(s): a3b388d

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +1 -0
  2. README.md +254 -0
  3. chat_template.jinja +263 -0
  4. config.json +37 -0
  5. model-00000-of-00045.safetensors +3 -0
  6. model-00001-of-00045.safetensors +3 -0
  7. model-00002-of-00045.safetensors +3 -0
  8. model-00003-of-00045.safetensors +3 -0
  9. model-00004-of-00045.safetensors +3 -0
  10. model-00005-of-00045.safetensors +3 -0
  11. model-00006-of-00045.safetensors +3 -0
  12. model-00007-of-00045.safetensors +3 -0
  13. model-00008-of-00045.safetensors +3 -0
  14. model-00009-of-00045.safetensors +3 -0
  15. model-00010-of-00045.safetensors +3 -0
  16. model-00011-of-00045.safetensors +3 -0
  17. model-00012-of-00045.safetensors +3 -0
  18. model-00013-of-00045.safetensors +3 -0
  19. model-00014-of-00045.safetensors +3 -0
  20. model-00015-of-00045.safetensors +3 -0
  21. model-00016-of-00045.safetensors +3 -0
  22. model-00017-of-00045.safetensors +3 -0
  23. model-00018-of-00045.safetensors +3 -0
  24. model-00019-of-00045.safetensors +3 -0
  25. model-00020-of-00045.safetensors +3 -0
  26. model-00021-of-00045.safetensors +3 -0
  27. model-00022-of-00045.safetensors +3 -0
  28. model-00023-of-00045.safetensors +3 -0
  29. model-00024-of-00045.safetensors +3 -0
  30. model-00025-of-00045.safetensors +3 -0
  31. model-00026-of-00045.safetensors +3 -0
  32. model-00027-of-00045.safetensors +3 -0
  33. model-00028-of-00045.safetensors +3 -0
  34. model-00029-of-00045.safetensors +3 -0
  35. model-00030-of-00045.safetensors +3 -0
  36. model-00031-of-00045.safetensors +3 -0
  37. model-00032-of-00045.safetensors +3 -0
  38. model-00033-of-00045.safetensors +3 -0
  39. model-00034-of-00045.safetensors +3 -0
  40. model-00035-of-00045.safetensors +3 -0
  41. model-00036-of-00045.safetensors +3 -0
  42. model-00037-of-00045.safetensors +3 -0
  43. model-00038-of-00045.safetensors +3 -0
  44. model-00039-of-00045.safetensors +3 -0
  45. model-00040-of-00045.safetensors +3 -0
  46. model-00041-of-00045.safetensors +3 -0
  47. model-00042-of-00045.safetensors +3 -0
  48. model-00043-of-00045.safetensors +3 -0
  49. model-00044-of-00045.safetensors +3 -0
  50. model.safetensors.index.json +802 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,254 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: mistralai/Mistral-Medium-3.5-128B
4
+ tags:
5
+ - mistral
6
+ - mistral-3.5
7
+ - text-only
8
+ - bf16
9
+ - 128b
10
+ ---
11
+
12
+ <style>
13
+ body {
14
+ font-family: 'Quicksand', sans-serif;
15
+ background: linear-gradient(135deg, #4a1e00 0%, #1c0a00 100%);
16
+ color: #F5EFE6;
17
+ margin: 0;
18
+ padding: 0;
19
+ font-size: 16px;
20
+ }
21
+
22
+ h1, h2, h3, h4, summary {
23
+ font-family: 'Cinzel', serif;
24
+ }
25
+
26
+ .container {
27
+ margin: 20px auto;
28
+ max-width: 900px;
29
+ background-color: rgba(28, 22, 18, 0.95);
30
+ padding: 30px;
31
+ border-radius: 12px;
32
+ box-shadow: 0 4px 20px rgba(255, 140, 0, 0.15);
33
+ border: 1px solid rgba(255, 140, 0, 0.2);
34
+ outline: 1px solid rgba(255, 140, 0, 0.5);
35
+ outline-offset: -1px;
36
+ position: relative;
37
+ }
38
+
39
+ .container::before {
40
+ content: '';
41
+ position: absolute;
42
+ top: -1px;
43
+ left: -1px;
44
+ right: -1px;
45
+ bottom: -1px;
46
+ border: 1px solid rgba(255, 165, 0, 0.98);
47
+ border-radius: 12px;
48
+ pointer-events: none;
49
+ animation: borderGlow 2.5s ease-in-out infinite;
50
+ }
51
+
52
+ @keyframes borderGlow {
53
+ 0% { box-shadow: 0 0 5px rgba(255, 165, 0, 0.98); }
54
+ 50% { box-shadow: 0 0 12px rgba(255, 165, 0, 0.98); }
55
+ 100% { box-shadow: 0 0 5px rgba(255, 165, 0, 0.98); }
56
+ }
57
+
58
+ .header h1 {
59
+ font-size: 32px;
60
+ color: #FFA500;
61
+ margin: 0 0 20px 0;
62
+ text-align: center;
63
+ text-shadow: 0 0 12px rgba(255, 100, 0, 0.6);
64
+ }
65
+
66
+ a {
67
+ color: #FFD700;
68
+ text-decoration: none;
69
+ transition: color 0.3s ease;
70
+ }
71
+
72
+ .button {
73
+ display: inline-block;
74
+ background-color: #E55B00;
75
+ color: #FFFFFF;
76
+ padding: 12px 24px;
77
+ border-radius: 5px;
78
+ cursor: pointer;
79
+ text-decoration: none;
80
+ font-family: 'Cinzel', serif;
81
+ font-weight: 600;
82
+ transition: all 0.3s ease;
83
+ border: 1px solid transparent;
84
+ }
85
+
86
+ .button:hover {
87
+ background-color: #FF8C00;
88
+ box-shadow: 0 0 15px rgba(255, 140, 0, 0.5);
89
+ transform: translateY(-2px);
90
+ }
91
+
92
+ .info-card {
93
+ background: rgba(45, 35, 25, 0.95);
94
+ border: 1px solid rgba(255, 140, 0, 0.2);
95
+ border-radius: 8px;
96
+ overflow: hidden;
97
+ margin-bottom: 25px;
98
+ }
99
+
100
+ .info-header {
101
+ background: rgba(255, 140, 0, 0.1);
102
+ padding: 20px;
103
+ border-bottom: 1px solid rgba(255, 140, 0, 0.2);
104
+ }
105
+
106
+ .info-header h3 {
107
+ color: #FFA500;
108
+ margin: 0 0 10px 0;
109
+ font-size: 22px;
110
+ }
111
+
112
+ .card-content {
113
+ padding: 20px;
114
+ line-height: 1.7;
115
+ }
116
+
117
+ .card-content ul {
118
+ list-style: none;
119
+ padding-left: 20px;
120
+ }
121
+
122
+ .card-content li::before {
123
+ content: '✦';
124
+ color: #FFD700;
125
+ font-weight: bold;
126
+ display: inline-block;
127
+ width: 1em;
128
+ margin-left: -1.2em;
129
+ }
130
+
131
+ .card-content strong {
132
+ color: #FFD700;
133
+ }
134
+
135
+ /* Update to the note card */
136
+ .note-card {
137
+ border: 1px solid #FFA500;
138
+ box-shadow: 0 0 10px rgba(255, 165, 0, 0.1);
139
+ }
140
+
141
+ .note-header {
142
+ background: rgba(255, 165, 0, 0.1);
143
+ }
144
+
145
+ .note-header h3 {
146
+ color: #FFA500;
147
+ text-align: center;
148
+ }
149
+
150
+ .support-section {
151
+ text-align: center;
152
+ margin-top: 40px;
153
+ background: rgba(45, 35, 25, 0.95);
154
+ border: 1px solid rgba(255, 140, 0, 0.2);
155
+ border-radius: 8px;
156
+ padding: 20px;
157
+ }
158
+
159
+ summary {
160
+ cursor: pointer;
161
+ list-style: none;
162
+ outline: none;
163
+ display: flex;
164
+ align-items: center;
165
+ }
166
+
167
+ summary::before {
168
+ content: '▶';
169
+ font-size: 1.2em;
170
+ color: #FFA500;
171
+ margin-right: 15px;
172
+ transition: transform 0.2s ease;
173
+ }
174
+
175
+ details[open] > summary::before {
176
+ transform: rotate(90deg);
177
+ }
178
+
179
+ h2 {
180
+ color: #FFA500;
181
+ border-bottom: 1px solid rgba(255, 140, 0, 0.2);
182
+ padding-bottom: 10px;
183
+ margin-bottom: 20px;
184
+ }
185
+ </style>
186
+
187
+ <div class="container">
188
+ <link href="https://fonts.googleapis.com/css2?family=Cinzel:wght@400;500;600&family=Quicksand:wght@400;500&display=swap" rel="stylesheet">
189
+
190
+ <div class="header">
191
+ <h1>Mistral-Medium-3.5-128B-BF16-Text-Only</h1>
192
+ </div>
193
+
194
+ <div class="info">
195
+
196
+ <div class="info-card note-card">
197
+ <div class="info-header note-header">
198
+ <h3>📜 Technical Architecture Note</h3>
199
+ </div>
200
+ <div class="card-content">
201
+ <p>This model has been converted from <strong>Mistral3ForConditionalGeneration</strong> (Multimodal) to <strong>MistralForCausalLM</strong> (Standard Text-Only). This change ensures maximum compatibility with standard fine-tuning libraries like <em>Axolotl, Unsloth, and Hugging Face Transformers</em> without requiring custom vision-encoder handling.</p>
202
+ </div>
203
+ </div>
204
+
205
+ <div class="support-section">
206
+ <p><strong>Help me feed the data beast! Taking commissions for universe-specific models.</strong></p>
207
+ <a href="https://ko-fi.com/som1tokmynam" target="_blank" class="button">
208
+ Support on Ko-fi
209
+ </a>
210
+ </div>
211
+
212
+ <div class="section-container">
213
+ <details open>
214
+ <summary><h2>Model Description</h2></summary>
215
+ <div class="info-card">
216
+ <div class="card-content">
217
+ <p>This is a processed version of <strong>Mistral-Medium-3.5-128B</strong> designed for users who prioritize text-only performance and ease of fine-tuning.</p>
218
+ <p><strong>Modification Details:</strong></p>
219
+ <ul>
220
+ <li><strong>Precision Upscale:</strong> Converted from <strong>FP8</strong> weights to <strong>BF16</strong> to restore full 16-bit brain-float precision for stable gradient updates during training.</li>
221
+ <li><strong>Vision Layer Stripping:</strong> All vision encoders and multimodal projection layers have been removed, significantly reducing memory overhead during inference and training for text-only tasks.</li>
222
+ <li><strong>Architecture Re-mapping:</strong> The configuration has been modified to use <code>MistralForCausalLM</code>, allowing it to be treated as a standard dense language model.</li>
223
+ </ul>
224
+ </div>
225
+ </div>
226
+ </details>
227
+ </div>
228
+
229
+ <div class="section-container">
230
+ <details>
231
+ <summary><h2>Purpose & Usage</h2></summary>
232
+ <div class="info-card">
233
+ <div class="card-content">
234
+ <p>This model is intended to serve as a <strong>clean base for fine-tuning</strong>. By removing the vision components, you can allocate more VRAM to sequence length or batch size. It is 100% functional for text-only chat and reasoning out of the box.</p>
235
+ </div>
236
+ </div>
237
+ </details>
238
+ </div>
239
+
240
+ <div class="section-container">
241
+ <details>
242
+ <summary><h2>Acknowledgements</h2></summary>
243
+ <div class="info-card">
244
+ <div class="card-content">
245
+ <ul>
246
+ <li>Credit to <strong>Mistral AI</strong> for the original Mistral-Medium-3.5-128B architecture.</li>
247
+ </ul>
248
+ </div>
249
+ </div>
250
+ </details>
251
+ </div>
252
+
253
+ </div>
254
+ </div>
chat_template.jinja ADDED
@@ -0,0 +1,263 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {#- Default date variables. To improve UX pass the correct ones to the Jinja render. #}
2
+ {%- if today is not defined %}
3
+ {%- set today = '29-04-2026' %}
4
+ {%- endif %}
5
+ {%- if yesterday is not defined %}
6
+ {%- set yesterday = '28-04-2026' %}
7
+ {%- endif %}
8
+
9
+ {#- Default system message if no system prompt is passed. #}
10
+ {%- set default_system_message -%}
11
+ You are Mistral Medium 3.5, a Large Language Model (LLM) created by Mistral AI, a French startup headquartered in Paris.
12
+ You are an intelligent conversational assistant powering an AI assistant called Le Chat.
13
+ Your knowledge base was last updated on Friday, November 1, 2024.
14
+ The current date is {{ today }}.
15
+
16
+ # GENERAL GUIDELINES
17
+
18
+ - Accurately answer the user's question.
19
+ - For uncertain information or when the user's request requires up-to-date or specific data, use the available tools to fetch the information.
20
+ - Be very attentive to dates, always try to resolve dates (e.g. "yesterday" is {{ yesterday }}) and when asked about information at specific dates, discard information that is at another date.
21
+
22
+ # WEB BROWSING INSTRUCTIONS
23
+
24
+ You cannot perform any web search or access internet to open URLs, links etc without dedicated tools.
25
+
26
+ # MULTI-MODAL INSTRUCTIONS
27
+
28
+ - You have the ability to read images.
29
+ - You cannot read audio nor videos.
30
+ - You cannot generate images without dedicated tools.
31
+
32
+ # TOOL CALLING INSTRUCTIONS
33
+
34
+ You may have access to tools that you can use to fetch information or perform actions. You must use these tools in the following situations:
35
+
36
+ 1. When the request requires up-to-date information.
37
+ 2. When the request requires specific data that you do not have in your knowledge base.
38
+ 3. When the request involves actions that you cannot perform without tools.
39
+
40
+ Always prioritize using tools to provide the most accurate and helpful response.
41
+ {%- endset %}
42
+
43
+ {#- Begin of sequence token. #}
44
+ {{- '<s>' }}
45
+
46
+
47
+ {#- Handle system prompt if it exists. #}
48
+ {%- set loop_messages = messages %}
49
+ {%- if messages[0]['role'] != 'system' and default_system_message != '' %}
50
+ {{- '[SYSTEM_PROMPT]' + default_system_message + '[/SYSTEM_PROMPT]' }}
51
+ {%- endif %}
52
+
53
+
54
+ {#- Tools and model settings definition #}
55
+ {%- set available_tools = '' %}
56
+ {%- set has_tools = false %}
57
+ {%- if tools is defined and tools is not none and tools|length > 0 %}
58
+ {%- set has_tools = true %}
59
+ {%- set available_tools = '[AVAILABLE_TOOLS]' + (tools| tojson) + '[/AVAILABLE_TOOLS]' %}
60
+ {%- endif %}
61
+ {%- if reasoning_effort is not defined or reasoning_effort is none %}
62
+ {%- set reasoning_effort = 'none' %}
63
+ {%- endif %}
64
+ {%- if reasoning_effort not in ['none', 'high'] %}
65
+ {{- raise_exception('reasoning_effort must be either "none" or "high"') }}
66
+ {%- endif %}
67
+ {%- set model_settings = '[MODEL_SETTINGS]{"reasoning_effort": "' + reasoning_effort + '"}[/MODEL_SETTINGS]' %}
68
+
69
+ {#- Aggregate consecutive messages with the same role except system and tool. #}
70
+ {#- A sentinel message is appended so the last group gets flushed inside the loop. #}
71
+ {%- set ns_agg = namespace(messages=[], current_group=[], current_role=none) %}
72
+ {%- for message in loop_messages + [{'role': '__sentinel__'}] %}
73
+ {%- if message['role'] != ns_agg.current_role or message['role'] == 'system' or message['role'] == 'tool' %}
74
+ {%- if ns_agg.current_role == 'tool' %}
75
+ {%- set ns_agg.messages = ns_agg.messages + ns_agg.current_group %}
76
+ {%- elif ns_agg.current_role is not none %}
77
+ {%- set ns_c = namespace(text_parts=[], chunks=[], has_non_text=false, tool_calls=[]) %}
78
+ {%- for msg in ns_agg.current_group %}
79
+ {#- Convert reasoning / reasoning_content to a leading thinking chunk. #}
80
+ {%- set reasoning = msg.get('reasoning_content', msg.get('reasoning', none)) %}
81
+ {%- if reasoning is not none and reasoning != '' %}
82
+ {%- set think_chunk = {'type': 'thinking', 'thinking': reasoning} %}
83
+ {%- if msg['content'] is string and msg['content'] != '' %}
84
+ {%- set new_content = [think_chunk, {'type': 'text', 'text': msg['content']}] %}
85
+ {%- elif msg['content'] is not none and msg['content'] is not string and msg['content'] | length > 0 %}
86
+ {%- set new_content = [think_chunk] + msg['content'] | list %}
87
+ {%- else %}
88
+ {%- set new_content = [think_chunk] %}
89
+ {%- endif %}
90
+ {%- if msg['tool_calls'] is defined and msg['tool_calls'] is not none %}
91
+ {%- set msg = {'role': msg['role'], 'content': new_content, 'tool_calls': msg['tool_calls']} %}
92
+ {%- else %}
93
+ {%- set msg = {'role': msg['role'], 'content': new_content} %}
94
+ {%- endif %}
95
+ {%- endif %}
96
+ {%- if msg['content'] is string %}
97
+ {%- set ns_c.text_parts = ns_c.text_parts + [msg['content']] %}
98
+ {%- elif msg['content'] is not none %}
99
+ {%- for block in msg['content'] %}
100
+ {%- if block['type'] == 'text' %}
101
+ {%- set ns_c.text_parts = ns_c.text_parts + [block['text']] %}
102
+ {%- else %}
103
+ {%- if ns_c.text_parts | length > 0 %}
104
+ {%- set ns_c.chunks = ns_c.chunks + [{'type': 'text', 'text': ns_c.text_parts | join('\n\n')}] %}
105
+ {%- set ns_c.text_parts = [] %}
106
+ {%- endif %}
107
+ {%- set ns_c.chunks = ns_c.chunks + [block] %}
108
+ {%- set ns_c.has_non_text = true %}
109
+ {%- endif %}
110
+ {%- endfor %}
111
+ {%- endif %}
112
+ {%- if msg['tool_calls'] is defined and msg['tool_calls'] is not none %}
113
+ {%- set ns_c.tool_calls = ns_c.tool_calls + msg['tool_calls'] | list %}
114
+ {%- endif %}
115
+ {%- endfor %}
116
+ {%- if ns_c.has_non_text %}
117
+ {%- if ns_c.text_parts | length > 0 %}
118
+ {%- set ns_c.chunks = ns_c.chunks + [{'type': 'text', 'text': ns_c.text_parts | join('\n\n')}] %}
119
+ {%- endif %}
120
+ {%- set merged_content = ns_c.chunks %}
121
+ {%- else %}
122
+ {%- set merged_content = ns_c.text_parts | join('\n\n') %}
123
+ {%- endif %}
124
+ {%- if ns_c.tool_calls | length > 0 %}
125
+ {%- set ns_agg.messages = ns_agg.messages + [{'role': ns_agg.current_role, 'content': merged_content, 'tool_calls': ns_c.tool_calls}] %}
126
+ {%- else %}
127
+ {%- set ns_agg.messages = ns_agg.messages + [{'role': ns_agg.current_role, 'content': merged_content}] %}
128
+ {%- endif %}
129
+ {%- endif %}
130
+ {%- if message['role'] != '__sentinel__' %}
131
+ {%- set ns_agg.current_group = [message] %}
132
+ {%- set ns_agg.current_role = message['role'] %}
133
+ {%- endif %}
134
+ {%- else %}
135
+ {%- set ns_agg.current_group = ns_agg.current_group + [message] %}
136
+ {%- endif %}
137
+ {%- endfor %}
138
+ {%- set loop_messages = ns_agg.messages %}
139
+
140
+ {#- Validates message ordering. #}
141
+ {%- set ns = namespace(available_tools_and_settings_emitted=false) %}
142
+ {%- if loop_messages | length > 0 and loop_messages[0]['role'] != 'user' and loop_messages[0]['role'] != 'system' %}
143
+ {{- raise_exception('Conversation must start with a user or system message, got ' + loop_messages[0]['role'] + '.') }}
144
+ {%- endif %}
145
+ {%- set ns_order = namespace(previous_role=none) %}
146
+ {%- for message in loop_messages %}
147
+ {%- set current_role = message['role'] %}
148
+ {%- if ns_order.previous_role is not none %}
149
+ {%- if ns_order.previous_role == 'system' %}
150
+ {%- if current_role != 'user' and current_role != 'assistant' and current_role != 'system' %}
151
+ {{- raise_exception('Unexpected role \'' + current_role + '\' after role \'' + ns_order.previous_role + '\'') }}
152
+ {%- endif %}
153
+ {%- elif ns_order.previous_role == 'user' %}
154
+ {%- if current_role != 'assistant' and current_role != 'system' and current_role != 'user' %}
155
+ {{- raise_exception('Unexpected role \'' + current_role + '\' after role \'' + ns_order.previous_role + '\'') }}
156
+ {%- endif %}
157
+ {%- elif ns_order.previous_role == 'assistant' %}
158
+ {%- if current_role != 'assistant' and current_role != 'user' and current_role != 'tool' %}
159
+ {{- raise_exception('Unexpected role \'' + current_role + '\' after role \'' + ns_order.previous_role + '\'') }}
160
+ {%- endif %}
161
+ {%- elif ns_order.previous_role == 'tool' %}
162
+ {%- if current_role != 'assistant' and current_role != 'tool' and current_role != 'user' %}
163
+ {{- raise_exception('Unexpected role \'' + current_role + '\' after role \'' + ns_order.previous_role + '\'') }}
164
+ {%- endif %}
165
+ {%- endif %}
166
+ {%- endif %}
167
+ {%- set ns_order.previous_role = current_role %}
168
+ {%- endfor %}
169
+
170
+ {#- Handle conversation messages. #}
171
+ {%- for message in loop_messages %}
172
+ {#- User messages supports text, image and image_url content. #}
173
+ {%- if message['role'] == 'user' %}
174
+ {%- if not ns.available_tools_and_settings_emitted %}
175
+ {{- available_tools }}
176
+ {{- model_settings }}
177
+ {%- set ns.available_tools_and_settings_emitted = true %}
178
+ {%- endif %}
179
+ {%- if message['content'] is string %}
180
+ {{- '[INST]' + message['content'] + '[/INST]' }}
181
+ {%- elif message['content'] | length > 0 %}
182
+ {{- '[INST]' }}
183
+ {%- if message['content'] | length == 2 %}
184
+ {%- set blocks = message['content'] | sort(attribute='type') %}
185
+ {%- else %}
186
+ {%- set blocks = message['content'] %}
187
+ {%- endif %}
188
+ {%- for block in blocks %}
189
+ {%- if block['type'] == 'text' %}
190
+ {{- block['text'] }}
191
+ {%- elif block['type'] in ['image', 'image_url'] %}
192
+ {{- '[IMG]' }}
193
+ {%- else %}
194
+ {{- raise_exception('Only text, image and image_url chunks are supported in user message content.') }}
195
+ {%- endif %}
196
+ {%- endfor %}
197
+ {{- '[/INST]' }}
198
+ {%- else %}
199
+ {{- raise_exception('User message must have a string or a list of chunks in content') }}
200
+ {%- endif %}
201
+
202
+ {#- Assistant messages supports text and thinking content. #}
203
+ {%- elif message['role'] == 'assistant' %}
204
+ {%- if (message['content'] is none or message['content'] == '' or message['content']|length == 0) and (message['tool_calls'] is not defined or message['tool_calls'] is none or message['tool_calls']|length == 0) %}
205
+ {{- raise_exception('Assistant message must have a string or a list of chunks in content or a list of tool calls.') }}
206
+ {%- endif %}
207
+
208
+ {%- if message['content'] is string and message['content'] != '' %}
209
+ {{- message['content'] }}
210
+ {%- elif message['content'] | length > 0 %}
211
+ {%- for block in message['content'] %}
212
+ {%- if block['type'] == 'text' %}
213
+ {{- block['text'] }}
214
+ {%- elif block['type'] == 'thinking' %}
215
+ {{- '[THINK]' + block['thinking'] }}
216
+ {%- if block.get('closed', true) %}{{- '[/THINK]' }}{%- endif %}
217
+ {%- else %}
218
+ {{- raise_exception('Only text and thinking chunks are supported in assistant message contents.') }}
219
+ {%- endif %}
220
+ {%- endfor %}
221
+ {%- endif %}
222
+
223
+ {%- if message['tool_calls'] is defined and message['tool_calls'] is not none and message['tool_calls']|length > 0 %}
224
+ {%- for tool in message['tool_calls'] %}
225
+ {{- '[TOOL_CALLS]' }}
226
+ {%- set name = tool['function']['name'] %}
227
+ {%- set arguments = tool['function']['arguments'] %}
228
+ {%- if arguments is not string %}
229
+ {%- set arguments = arguments|tojson|safe %}
230
+ {%- elif arguments == '' %}
231
+ {%- set arguments = '{}' %}
232
+ {%- endif %}
233
+ {{- name + '[ARGS]' + arguments }}
234
+ {%- endfor %}
235
+ {%- endif %}
236
+
237
+ {{- '</s>' }}
238
+
239
+ {#- Tool messages only supports text content. #}
240
+ {%- elif message['role'] == 'tool' %}
241
+ {{- '[TOOL_RESULTS]' + message['content']|string + '[/TOOL_RESULTS]' }}
242
+
243
+ {#- System messages. #}
244
+ {%- elif message['role'] == 'system' %}
245
+ {{- '[SYSTEM_PROMPT]' -}}
246
+ {%- if message['content'] is string %}
247
+ {{- message['content'] -}}
248
+ {%- else %}
249
+ {%- for block in message['content'] %}
250
+ {%- if block['type'] == 'text' %}
251
+ {{- block['text'] }}
252
+ {%- else %}
253
+ {{- raise_exception('Only text chunks are supported in system message contents.') }}
254
+ {%- endif %}
255
+ {%- endfor %}
256
+ {%- endif %}
257
+ {{- '[/SYSTEM_PROMPT]' -}}
258
+
259
+ {#- Raise exception for unsupported roles. #}
260
+ {%- else %}
261
+ {{- raise_exception('Only user, assistant, system and tool roles are supported, got ' + message['role'] + '.') }}
262
+ {%- endif %}
263
+ {%- endfor %}
config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "MistralForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 1,
7
+ "eos_token_id": 2,
8
+ "head_dim": 128,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 12288,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 28672,
13
+ "max_position_embeddings": 262144,
14
+ "model_type": "mistral",
15
+ "num_attention_heads": 96,
16
+ "num_hidden_layers": 88,
17
+ "num_key_value_heads": 8,
18
+ "pad_token_id": 11,
19
+ "rms_norm_eps": 1e-05,
20
+ "rope_parameters": {
21
+ "beta_fast": 4.0,
22
+ "beta_slow": 1.0,
23
+ "factor": 64.0,
24
+ "llama_4_scaling_beta": 0,
25
+ "mscale": 1.0,
26
+ "mscale_all_dim": 0.0,
27
+ "original_max_position_embeddings": 4096,
28
+ "rope_theta": 1000000.0,
29
+ "rope_type": "yarn",
30
+ "type": "yarn"
31
+ },
32
+ "sliding_window": null,
33
+ "tie_word_embeddings": false,
34
+ "transformers_version": "5.5.0",
35
+ "use_cache": true,
36
+ "vocab_size": 131072
37
+ }
model-00000-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b254ec460ae5c73383ebfac95940ba3de5a61f7cbddf5e56b2ea4d7f4c7af00e
3
+ size 5989467064
model-00001-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f498573b693ab9041a6d657734b4ebdc78b48f9450df3e956622f7f0589317ce
3
+ size 5536581680
model-00002-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d7c875880ff390118d31447b3346fceb61fe41961323c617f053c5e6ae76a087
3
+ size 5536581680
model-00003-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4d9cdcbdf7fd7ca05765982b5957e67243b10f9ca718ae8841b117d68d19e93b
3
+ size 5536581680
model-00004-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4a392d2dc54a2949f44e16c033ea09268d5afaa58329c30504d4d1474878ceed
3
+ size 5536581680
model-00005-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47424d00b58c714553532cc859a89da326049dfd5983f78a20a925afec78fe3b
3
+ size 5536581720
model-00006-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e12632b715ae0455d36c83467e404a4ca6a7eaffd9c5257d1468c19920a0dba1
3
+ size 5536581696
model-00007-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:738a342e0c76e297170e9ff7e540199a58704af30d7a422a6dc66f59994aba1e
3
+ size 5536581696
model-00008-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83477e1a05b647a5e1c7109b26b380af67826c86a32bfb305338bb25f1cb9bf4
3
+ size 5536581696
model-00009-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:291b2d7c96d9b11c7d588e0e338fbaa77295574d44686e5e77e0892396b17cfc
3
+ size 5536581696
model-00010-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3825295c94eaa76fcb992fdf01d3d2042143170413c31b61e0e3a846e0fdcee0
3
+ size 5536581696
model-00011-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:62aa24afde4d399db3072e8d5316ce2bcc77c0d50dda710f43441e707a55c3ff
3
+ size 5536581696
model-00012-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4a19cd820c9bd9669e2e2b61ffb75223523b23b0bbcbcb5994ce1f0dea215d3
3
+ size 5536581696
model-00013-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d70d78b777d99128ebc5132053724f14e712ee91ead8a5761f061dd6a8e73a78
3
+ size 5536581696
model-00014-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47af86e874607c2595e056f6769305b2faf02d4eac93f3a864b0741270c3c901
3
+ size 5536581696
model-00015-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b22aacb84ed02d751a5e1ce515a5368ea8ea4bdc819c9be0e6ca240d30a4db9
3
+ size 5536581696
model-00016-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bc6da1bcdc498716a8fe54e1993f4cf4180cc0075d808fcd2c8570b198dfa29d
3
+ size 5536581696
model-00017-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20199bb7c57dd881f4b80b6ca457a236d6e61afffd3bc8c4e02a6e743c62e8f3
3
+ size 5536581696
model-00018-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:40be8b11e1094c896984e3c046691ac344fe5cdc35d5bf6d26682b729061c828
3
+ size 5536581696
model-00019-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e64c4780e7016184247cadab46260a12b4306266ee21267dadc3a16a4a00141d
3
+ size 5536581696
model-00020-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3738e91cec42de47abba5ec96184a5a6c7d652f7128cf3587973c0356d6f9f41
3
+ size 5536581696
model-00021-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d9c1741b605d8e51f26b3c27c41b7d292366b15e7d70e7a6adac2cd88ffbd43
3
+ size 5536581696
model-00022-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c6044f32f457bb0e8857224ced81f9d67b7e09ac96aa9fda0a269d7350650137
3
+ size 5536581696
model-00023-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:288b1c486dfb979f76dfb94469af643d6ae44ec6764a8afdaee9c38e225713d1
3
+ size 5536581696
model-00024-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24770888f17ea84b81c89a06ca2409d0732953babe671b1632af625b3b7d4518
3
+ size 5536581696
model-00025-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2123ebf61b064537834a88382fb837ce2227ee8aa2c4d0a34617717f19a56b06
3
+ size 5536581696
model-00026-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b3a0cd88d59f48be6d68c59d6205ceeac0fd6cf41f5863db963386fe1cb82ef4
3
+ size 5536581696
model-00027-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3541774dbcc7b41bc47140a5012ff92bc12c8449c387def7afb073e040ce2f41
3
+ size 5536581696
model-00028-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e5810dae0bf2bfb0b61b5b937d7dad9c983c174e3838132b7f802bc4c68c4c27
3
+ size 5536581696
model-00029-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed33e1c7753cf5240b160718188cc51db7b7b81e6f6b1514415275b1d1989acb
3
+ size 5536581696
model-00030-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:adf48cbfd19e8cb3374d83d39875af1d2bf188f5efd6ccde42cdd162ca1c6a93
3
+ size 5536581696
model-00031-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ddfccf58c79729b813af5c9f2450858ef4568c50b9a2c72a5b29f18b0b8f5f9
3
+ size 5536581696
model-00032-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47924e4c2171c1ebdaac957e23003724f9f31c71911c674456ad0f562edfbd18
3
+ size 5536581696
model-00033-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:287100a58121068f64793c27d109d714c750f4fab2de690693ea17429d9ccd5e
3
+ size 5536581696
model-00034-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:781e6b5b9102af9b9c0df5792fbe8e3a37592c97a9a3df345fce88ed569ca417
3
+ size 5536581696
model-00035-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:494aa1c28c1fbb75fd0b9965e44a953337dad7e0ea87aac7ae192401478fb8ca
3
+ size 5536581696
model-00036-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b7e6a66e44a683f489bab6088fc503b524a31c5031f4455bc7a7a66bd3765a1e
3
+ size 5536581696
model-00037-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fe441c273d7d914952d5740bfc37e0987b2abd363e54687b21c7f9aae8fd4078
3
+ size 5536581696
model-00038-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:92b7457094c71d252a02ef658a67858dc98b8740a704290774d093cdbab88f07
3
+ size 5536581696
model-00039-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bbf110381bc31c13674527a57bfd535927dba63d860693081ef786841c9db603
3
+ size 5536581696
model-00040-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eccdbaa8b2c4322b368d3e62946fe997a3adb1f7cf1a0baee1547bfb16e380cb
3
+ size 5536581696
model-00041-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7c38aae28147b7ed8ad95c4a57ed881ebbbe3d47f37e737206b38c370dbc742
3
+ size 5536581696
model-00042-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1e3d241bea2b9b18b667d023202e68e01b5e262d2a4543a8da454781d24823b3
3
+ size 5536581696
model-00043-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:98743d5b9b0ce19e8a4087ec1c82c00734cdee483a4547de6d9b47393554891b
3
+ size 5536581696
model-00044-of-00045.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b7a965951421ee5ced9104dfbc1f31f7da443565c5536a99695563824a0c9782
3
+ size 5989590496
model.safetensors.index.json ADDED
@@ -0,0 +1,802 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 795
4
+ },
5
+ "weight_map": {
6
+ "model.embed_tokens.weight": "model-00000-of-00045.safetensors",
7
+ "model.layers.0.mlp.down_proj.weight": "model-00000-of-00045.safetensors",
8
+ "model.layers.0.mlp.gate_proj.weight": "model-00000-of-00045.safetensors",
9
+ "model.layers.0.mlp.up_proj.weight": "model-00000-of-00045.safetensors",
10
+ "model.layers.0.self_attn.k_proj.weight": "model-00000-of-00045.safetensors",
11
+ "model.layers.0.self_attn.o_proj.weight": "model-00000-of-00045.safetensors",
12
+ "model.layers.0.self_attn.q_proj.weight": "model-00000-of-00045.safetensors",
13
+ "model.layers.0.self_attn.v_proj.weight": "model-00000-of-00045.safetensors",
14
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00045.safetensors",
15
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00045.safetensors",
16
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00045.safetensors",
17
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00045.safetensors",
18
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00045.safetensors",
19
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00045.safetensors",
20
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00045.safetensors",
21
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00045.safetensors",
22
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00045.safetensors",
23
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00045.safetensors",
24
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00045.safetensors",
25
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00045.safetensors",
26
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00045.safetensors",
27
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00045.safetensors",
28
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00045.safetensors",
29
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00045.safetensors",
30
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00045.safetensors",
31
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00045.safetensors",
32
+ "model.layers.2.input_layernorm.weight": "model-00002-of-00045.safetensors",
33
+ "model.layers.2.post_attention_layernorm.weight": "model-00002-of-00045.safetensors",
34
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00045.safetensors",
35
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00045.safetensors",
36
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00045.safetensors",
37
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00045.safetensors",
38
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00045.safetensors",
39
+ "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00045.safetensors",
40
+ "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00045.safetensors",
41
+ "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00045.safetensors",
42
+ "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00045.safetensors",
43
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00045.safetensors",
44
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00045.safetensors",
45
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00045.safetensors",
46
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00045.safetensors",
47
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00045.safetensors",
48
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00045.safetensors",
49
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00045.safetensors",
50
+ "model.layers.4.input_layernorm.weight": "model-00003-of-00045.safetensors",
51
+ "model.layers.4.post_attention_layernorm.weight": "model-00003-of-00045.safetensors",
52
+ "model.layers.5.input_layernorm.weight": "model-00003-of-00045.safetensors",
53
+ "model.layers.5.mlp.down_proj.weight": "model-00003-of-00045.safetensors",
54
+ "model.layers.5.mlp.gate_proj.weight": "model-00003-of-00045.safetensors",
55
+ "model.layers.5.mlp.up_proj.weight": "model-00003-of-00045.safetensors",
56
+ "model.layers.5.post_attention_layernorm.weight": "model-00003-of-00045.safetensors",
57
+ "model.layers.5.self_attn.k_proj.weight": "model-00003-of-00045.safetensors",
58
+ "model.layers.5.self_attn.o_proj.weight": "model-00003-of-00045.safetensors",
59
+ "model.layers.5.self_attn.q_proj.weight": "model-00003-of-00045.safetensors",
60
+ "model.layers.5.self_attn.v_proj.weight": "model-00003-of-00045.safetensors",
61
+ "model.layers.6.mlp.down_proj.weight": "model-00003-of-00045.safetensors",
62
+ "model.layers.6.mlp.gate_proj.weight": "model-00003-of-00045.safetensors",
63
+ "model.layers.6.mlp.up_proj.weight": "model-00003-of-00045.safetensors",
64
+ "model.layers.6.self_attn.k_proj.weight": "model-00003-of-00045.safetensors",
65
+ "model.layers.6.self_attn.o_proj.weight": "model-00003-of-00045.safetensors",
66
+ "model.layers.6.self_attn.q_proj.weight": "model-00003-of-00045.safetensors",
67
+ "model.layers.6.self_attn.v_proj.weight": "model-00003-of-00045.safetensors",
68
+ "model.layers.6.input_layernorm.weight": "model-00004-of-00045.safetensors",
69
+ "model.layers.6.post_attention_layernorm.weight": "model-00004-of-00045.safetensors",
70
+ "model.layers.7.input_layernorm.weight": "model-00004-of-00045.safetensors",
71
+ "model.layers.7.mlp.down_proj.weight": "model-00004-of-00045.safetensors",
72
+ "model.layers.7.mlp.gate_proj.weight": "model-00004-of-00045.safetensors",
73
+ "model.layers.7.mlp.up_proj.weight": "model-00004-of-00045.safetensors",
74
+ "model.layers.7.post_attention_layernorm.weight": "model-00004-of-00045.safetensors",
75
+ "model.layers.7.self_attn.k_proj.weight": "model-00004-of-00045.safetensors",
76
+ "model.layers.7.self_attn.o_proj.weight": "model-00004-of-00045.safetensors",
77
+ "model.layers.7.self_attn.q_proj.weight": "model-00004-of-00045.safetensors",
78
+ "model.layers.7.self_attn.v_proj.weight": "model-00004-of-00045.safetensors",
79
+ "model.layers.8.mlp.down_proj.weight": "model-00004-of-00045.safetensors",
80
+ "model.layers.8.mlp.gate_proj.weight": "model-00004-of-00045.safetensors",
81
+ "model.layers.8.mlp.up_proj.weight": "model-00004-of-00045.safetensors",
82
+ "model.layers.8.self_attn.k_proj.weight": "model-00004-of-00045.safetensors",
83
+ "model.layers.8.self_attn.o_proj.weight": "model-00004-of-00045.safetensors",
84
+ "model.layers.8.self_attn.q_proj.weight": "model-00004-of-00045.safetensors",
85
+ "model.layers.8.self_attn.v_proj.weight": "model-00004-of-00045.safetensors",
86
+ "model.layers.10.mlp.down_proj.weight": "model-00005-of-00045.safetensors",
87
+ "model.layers.10.mlp.gate_proj.weight": "model-00005-of-00045.safetensors",
88
+ "model.layers.10.mlp.up_proj.weight": "model-00005-of-00045.safetensors",
89
+ "model.layers.10.self_attn.k_proj.weight": "model-00005-of-00045.safetensors",
90
+ "model.layers.10.self_attn.o_proj.weight": "model-00005-of-00045.safetensors",
91
+ "model.layers.10.self_attn.q_proj.weight": "model-00005-of-00045.safetensors",
92
+ "model.layers.10.self_attn.v_proj.weight": "model-00005-of-00045.safetensors",
93
+ "model.layers.8.input_layernorm.weight": "model-00005-of-00045.safetensors",
94
+ "model.layers.8.post_attention_layernorm.weight": "model-00005-of-00045.safetensors",
95
+ "model.layers.9.input_layernorm.weight": "model-00005-of-00045.safetensors",
96
+ "model.layers.9.mlp.down_proj.weight": "model-00005-of-00045.safetensors",
97
+ "model.layers.9.mlp.gate_proj.weight": "model-00005-of-00045.safetensors",
98
+ "model.layers.9.mlp.up_proj.weight": "model-00005-of-00045.safetensors",
99
+ "model.layers.9.post_attention_layernorm.weight": "model-00005-of-00045.safetensors",
100
+ "model.layers.9.self_attn.k_proj.weight": "model-00005-of-00045.safetensors",
101
+ "model.layers.9.self_attn.o_proj.weight": "model-00005-of-00045.safetensors",
102
+ "model.layers.9.self_attn.q_proj.weight": "model-00005-of-00045.safetensors",
103
+ "model.layers.9.self_attn.v_proj.weight": "model-00005-of-00045.safetensors",
104
+ "model.layers.10.input_layernorm.weight": "model-00006-of-00045.safetensors",
105
+ "model.layers.10.post_attention_layernorm.weight": "model-00006-of-00045.safetensors",
106
+ "model.layers.11.input_layernorm.weight": "model-00006-of-00045.safetensors",
107
+ "model.layers.11.mlp.down_proj.weight": "model-00006-of-00045.safetensors",
108
+ "model.layers.11.mlp.gate_proj.weight": "model-00006-of-00045.safetensors",
109
+ "model.layers.11.mlp.up_proj.weight": "model-00006-of-00045.safetensors",
110
+ "model.layers.11.post_attention_layernorm.weight": "model-00006-of-00045.safetensors",
111
+ "model.layers.11.self_attn.k_proj.weight": "model-00006-of-00045.safetensors",
112
+ "model.layers.11.self_attn.o_proj.weight": "model-00006-of-00045.safetensors",
113
+ "model.layers.11.self_attn.q_proj.weight": "model-00006-of-00045.safetensors",
114
+ "model.layers.11.self_attn.v_proj.weight": "model-00006-of-00045.safetensors",
115
+ "model.layers.12.mlp.down_proj.weight": "model-00006-of-00045.safetensors",
116
+ "model.layers.12.mlp.gate_proj.weight": "model-00006-of-00045.safetensors",
117
+ "model.layers.12.mlp.up_proj.weight": "model-00006-of-00045.safetensors",
118
+ "model.layers.12.self_attn.k_proj.weight": "model-00006-of-00045.safetensors",
119
+ "model.layers.12.self_attn.o_proj.weight": "model-00006-of-00045.safetensors",
120
+ "model.layers.12.self_attn.q_proj.weight": "model-00006-of-00045.safetensors",
121
+ "model.layers.12.self_attn.v_proj.weight": "model-00006-of-00045.safetensors",
122
+ "model.layers.12.input_layernorm.weight": "model-00007-of-00045.safetensors",
123
+ "model.layers.12.post_attention_layernorm.weight": "model-00007-of-00045.safetensors",
124
+ "model.layers.13.input_layernorm.weight": "model-00007-of-00045.safetensors",
125
+ "model.layers.13.mlp.down_proj.weight": "model-00007-of-00045.safetensors",
126
+ "model.layers.13.mlp.gate_proj.weight": "model-00007-of-00045.safetensors",
127
+ "model.layers.13.mlp.up_proj.weight": "model-00007-of-00045.safetensors",
128
+ "model.layers.13.post_attention_layernorm.weight": "model-00007-of-00045.safetensors",
129
+ "model.layers.13.self_attn.k_proj.weight": "model-00007-of-00045.safetensors",
130
+ "model.layers.13.self_attn.o_proj.weight": "model-00007-of-00045.safetensors",
131
+ "model.layers.13.self_attn.q_proj.weight": "model-00007-of-00045.safetensors",
132
+ "model.layers.13.self_attn.v_proj.weight": "model-00007-of-00045.safetensors",
133
+ "model.layers.14.mlp.down_proj.weight": "model-00007-of-00045.safetensors",
134
+ "model.layers.14.mlp.gate_proj.weight": "model-00007-of-00045.safetensors",
135
+ "model.layers.14.mlp.up_proj.weight": "model-00007-of-00045.safetensors",
136
+ "model.layers.14.self_attn.k_proj.weight": "model-00007-of-00045.safetensors",
137
+ "model.layers.14.self_attn.o_proj.weight": "model-00007-of-00045.safetensors",
138
+ "model.layers.14.self_attn.q_proj.weight": "model-00007-of-00045.safetensors",
139
+ "model.layers.14.self_attn.v_proj.weight": "model-00007-of-00045.safetensors",
140
+ "model.layers.14.input_layernorm.weight": "model-00008-of-00045.safetensors",
141
+ "model.layers.14.post_attention_layernorm.weight": "model-00008-of-00045.safetensors",
142
+ "model.layers.15.input_layernorm.weight": "model-00008-of-00045.safetensors",
143
+ "model.layers.15.mlp.down_proj.weight": "model-00008-of-00045.safetensors",
144
+ "model.layers.15.mlp.gate_proj.weight": "model-00008-of-00045.safetensors",
145
+ "model.layers.15.mlp.up_proj.weight": "model-00008-of-00045.safetensors",
146
+ "model.layers.15.post_attention_layernorm.weight": "model-00008-of-00045.safetensors",
147
+ "model.layers.15.self_attn.k_proj.weight": "model-00008-of-00045.safetensors",
148
+ "model.layers.15.self_attn.o_proj.weight": "model-00008-of-00045.safetensors",
149
+ "model.layers.15.self_attn.q_proj.weight": "model-00008-of-00045.safetensors",
150
+ "model.layers.15.self_attn.v_proj.weight": "model-00008-of-00045.safetensors",
151
+ "model.layers.16.mlp.down_proj.weight": "model-00008-of-00045.safetensors",
152
+ "model.layers.16.mlp.gate_proj.weight": "model-00008-of-00045.safetensors",
153
+ "model.layers.16.mlp.up_proj.weight": "model-00008-of-00045.safetensors",
154
+ "model.layers.16.self_attn.k_proj.weight": "model-00008-of-00045.safetensors",
155
+ "model.layers.16.self_attn.o_proj.weight": "model-00008-of-00045.safetensors",
156
+ "model.layers.16.self_attn.q_proj.weight": "model-00008-of-00045.safetensors",
157
+ "model.layers.16.self_attn.v_proj.weight": "model-00008-of-00045.safetensors",
158
+ "model.layers.16.input_layernorm.weight": "model-00009-of-00045.safetensors",
159
+ "model.layers.16.post_attention_layernorm.weight": "model-00009-of-00045.safetensors",
160
+ "model.layers.17.input_layernorm.weight": "model-00009-of-00045.safetensors",
161
+ "model.layers.17.mlp.down_proj.weight": "model-00009-of-00045.safetensors",
162
+ "model.layers.17.mlp.gate_proj.weight": "model-00009-of-00045.safetensors",
163
+ "model.layers.17.mlp.up_proj.weight": "model-00009-of-00045.safetensors",
164
+ "model.layers.17.post_attention_layernorm.weight": "model-00009-of-00045.safetensors",
165
+ "model.layers.17.self_attn.k_proj.weight": "model-00009-of-00045.safetensors",
166
+ "model.layers.17.self_attn.o_proj.weight": "model-00009-of-00045.safetensors",
167
+ "model.layers.17.self_attn.q_proj.weight": "model-00009-of-00045.safetensors",
168
+ "model.layers.17.self_attn.v_proj.weight": "model-00009-of-00045.safetensors",
169
+ "model.layers.18.mlp.down_proj.weight": "model-00009-of-00045.safetensors",
170
+ "model.layers.18.mlp.gate_proj.weight": "model-00009-of-00045.safetensors",
171
+ "model.layers.18.mlp.up_proj.weight": "model-00009-of-00045.safetensors",
172
+ "model.layers.18.self_attn.k_proj.weight": "model-00009-of-00045.safetensors",
173
+ "model.layers.18.self_attn.o_proj.weight": "model-00009-of-00045.safetensors",
174
+ "model.layers.18.self_attn.q_proj.weight": "model-00009-of-00045.safetensors",
175
+ "model.layers.18.self_attn.v_proj.weight": "model-00009-of-00045.safetensors",
176
+ "model.layers.18.input_layernorm.weight": "model-00010-of-00045.safetensors",
177
+ "model.layers.18.post_attention_layernorm.weight": "model-00010-of-00045.safetensors",
178
+ "model.layers.19.input_layernorm.weight": "model-00010-of-00045.safetensors",
179
+ "model.layers.19.mlp.down_proj.weight": "model-00010-of-00045.safetensors",
180
+ "model.layers.19.mlp.gate_proj.weight": "model-00010-of-00045.safetensors",
181
+ "model.layers.19.mlp.up_proj.weight": "model-00010-of-00045.safetensors",
182
+ "model.layers.19.post_attention_layernorm.weight": "model-00010-of-00045.safetensors",
183
+ "model.layers.19.self_attn.k_proj.weight": "model-00010-of-00045.safetensors",
184
+ "model.layers.19.self_attn.o_proj.weight": "model-00010-of-00045.safetensors",
185
+ "model.layers.19.self_attn.q_proj.weight": "model-00010-of-00045.safetensors",
186
+ "model.layers.19.self_attn.v_proj.weight": "model-00010-of-00045.safetensors",
187
+ "model.layers.20.mlp.down_proj.weight": "model-00010-of-00045.safetensors",
188
+ "model.layers.20.mlp.gate_proj.weight": "model-00010-of-00045.safetensors",
189
+ "model.layers.20.mlp.up_proj.weight": "model-00010-of-00045.safetensors",
190
+ "model.layers.20.self_attn.k_proj.weight": "model-00010-of-00045.safetensors",
191
+ "model.layers.20.self_attn.o_proj.weight": "model-00010-of-00045.safetensors",
192
+ "model.layers.20.self_attn.q_proj.weight": "model-00010-of-00045.safetensors",
193
+ "model.layers.20.self_attn.v_proj.weight": "model-00010-of-00045.safetensors",
194
+ "model.layers.20.input_layernorm.weight": "model-00011-of-00045.safetensors",
195
+ "model.layers.20.post_attention_layernorm.weight": "model-00011-of-00045.safetensors",
196
+ "model.layers.21.input_layernorm.weight": "model-00011-of-00045.safetensors",
197
+ "model.layers.21.mlp.down_proj.weight": "model-00011-of-00045.safetensors",
198
+ "model.layers.21.mlp.gate_proj.weight": "model-00011-of-00045.safetensors",
199
+ "model.layers.21.mlp.up_proj.weight": "model-00011-of-00045.safetensors",
200
+ "model.layers.21.post_attention_layernorm.weight": "model-00011-of-00045.safetensors",
201
+ "model.layers.21.self_attn.k_proj.weight": "model-00011-of-00045.safetensors",
202
+ "model.layers.21.self_attn.o_proj.weight": "model-00011-of-00045.safetensors",
203
+ "model.layers.21.self_attn.q_proj.weight": "model-00011-of-00045.safetensors",
204
+ "model.layers.21.self_attn.v_proj.weight": "model-00011-of-00045.safetensors",
205
+ "model.layers.22.mlp.down_proj.weight": "model-00011-of-00045.safetensors",
206
+ "model.layers.22.mlp.gate_proj.weight": "model-00011-of-00045.safetensors",
207
+ "model.layers.22.mlp.up_proj.weight": "model-00011-of-00045.safetensors",
208
+ "model.layers.22.self_attn.k_proj.weight": "model-00011-of-00045.safetensors",
209
+ "model.layers.22.self_attn.o_proj.weight": "model-00011-of-00045.safetensors",
210
+ "model.layers.22.self_attn.q_proj.weight": "model-00011-of-00045.safetensors",
211
+ "model.layers.22.self_attn.v_proj.weight": "model-00011-of-00045.safetensors",
212
+ "model.layers.22.input_layernorm.weight": "model-00012-of-00045.safetensors",
213
+ "model.layers.22.post_attention_layernorm.weight": "model-00012-of-00045.safetensors",
214
+ "model.layers.23.input_layernorm.weight": "model-00012-of-00045.safetensors",
215
+ "model.layers.23.mlp.down_proj.weight": "model-00012-of-00045.safetensors",
216
+ "model.layers.23.mlp.gate_proj.weight": "model-00012-of-00045.safetensors",
217
+ "model.layers.23.mlp.up_proj.weight": "model-00012-of-00045.safetensors",
218
+ "model.layers.23.post_attention_layernorm.weight": "model-00012-of-00045.safetensors",
219
+ "model.layers.23.self_attn.k_proj.weight": "model-00012-of-00045.safetensors",
220
+ "model.layers.23.self_attn.o_proj.weight": "model-00012-of-00045.safetensors",
221
+ "model.layers.23.self_attn.q_proj.weight": "model-00012-of-00045.safetensors",
222
+ "model.layers.23.self_attn.v_proj.weight": "model-00012-of-00045.safetensors",
223
+ "model.layers.24.mlp.down_proj.weight": "model-00012-of-00045.safetensors",
224
+ "model.layers.24.mlp.gate_proj.weight": "model-00012-of-00045.safetensors",
225
+ "model.layers.24.mlp.up_proj.weight": "model-00012-of-00045.safetensors",
226
+ "model.layers.24.self_attn.k_proj.weight": "model-00012-of-00045.safetensors",
227
+ "model.layers.24.self_attn.o_proj.weight": "model-00012-of-00045.safetensors",
228
+ "model.layers.24.self_attn.q_proj.weight": "model-00012-of-00045.safetensors",
229
+ "model.layers.24.self_attn.v_proj.weight": "model-00012-of-00045.safetensors",
230
+ "model.layers.24.input_layernorm.weight": "model-00013-of-00045.safetensors",
231
+ "model.layers.24.post_attention_layernorm.weight": "model-00013-of-00045.safetensors",
232
+ "model.layers.25.input_layernorm.weight": "model-00013-of-00045.safetensors",
233
+ "model.layers.25.mlp.down_proj.weight": "model-00013-of-00045.safetensors",
234
+ "model.layers.25.mlp.gate_proj.weight": "model-00013-of-00045.safetensors",
235
+ "model.layers.25.mlp.up_proj.weight": "model-00013-of-00045.safetensors",
236
+ "model.layers.25.post_attention_layernorm.weight": "model-00013-of-00045.safetensors",
237
+ "model.layers.25.self_attn.k_proj.weight": "model-00013-of-00045.safetensors",
238
+ "model.layers.25.self_attn.o_proj.weight": "model-00013-of-00045.safetensors",
239
+ "model.layers.25.self_attn.q_proj.weight": "model-00013-of-00045.safetensors",
240
+ "model.layers.25.self_attn.v_proj.weight": "model-00013-of-00045.safetensors",
241
+ "model.layers.26.mlp.down_proj.weight": "model-00013-of-00045.safetensors",
242
+ "model.layers.26.mlp.gate_proj.weight": "model-00013-of-00045.safetensors",
243
+ "model.layers.26.mlp.up_proj.weight": "model-00013-of-00045.safetensors",
244
+ "model.layers.26.self_attn.k_proj.weight": "model-00013-of-00045.safetensors",
245
+ "model.layers.26.self_attn.o_proj.weight": "model-00013-of-00045.safetensors",
246
+ "model.layers.26.self_attn.q_proj.weight": "model-00013-of-00045.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00013-of-00045.safetensors",
248
+ "model.layers.26.input_layernorm.weight": "model-00014-of-00045.safetensors",
249
+ "model.layers.26.post_attention_layernorm.weight": "model-00014-of-00045.safetensors",
250
+ "model.layers.27.input_layernorm.weight": "model-00014-of-00045.safetensors",
251
+ "model.layers.27.mlp.down_proj.weight": "model-00014-of-00045.safetensors",
252
+ "model.layers.27.mlp.gate_proj.weight": "model-00014-of-00045.safetensors",
253
+ "model.layers.27.mlp.up_proj.weight": "model-00014-of-00045.safetensors",
254
+ "model.layers.27.post_attention_layernorm.weight": "model-00014-of-00045.safetensors",
255
+ "model.layers.27.self_attn.k_proj.weight": "model-00014-of-00045.safetensors",
256
+ "model.layers.27.self_attn.o_proj.weight": "model-00014-of-00045.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00014-of-00045.safetensors",
258
+ "model.layers.27.self_attn.v_proj.weight": "model-00014-of-00045.safetensors",
259
+ "model.layers.28.mlp.down_proj.weight": "model-00014-of-00045.safetensors",
260
+ "model.layers.28.mlp.gate_proj.weight": "model-00014-of-00045.safetensors",
261
+ "model.layers.28.mlp.up_proj.weight": "model-00014-of-00045.safetensors",
262
+ "model.layers.28.self_attn.k_proj.weight": "model-00014-of-00045.safetensors",
263
+ "model.layers.28.self_attn.o_proj.weight": "model-00014-of-00045.safetensors",
264
+ "model.layers.28.self_attn.q_proj.weight": "model-00014-of-00045.safetensors",
265
+ "model.layers.28.self_attn.v_proj.weight": "model-00014-of-00045.safetensors",
266
+ "model.layers.28.input_layernorm.weight": "model-00015-of-00045.safetensors",
267
+ "model.layers.28.post_attention_layernorm.weight": "model-00015-of-00045.safetensors",
268
+ "model.layers.29.input_layernorm.weight": "model-00015-of-00045.safetensors",
269
+ "model.layers.29.mlp.down_proj.weight": "model-00015-of-00045.safetensors",
270
+ "model.layers.29.mlp.gate_proj.weight": "model-00015-of-00045.safetensors",
271
+ "model.layers.29.mlp.up_proj.weight": "model-00015-of-00045.safetensors",
272
+ "model.layers.29.post_attention_layernorm.weight": "model-00015-of-00045.safetensors",
273
+ "model.layers.29.self_attn.k_proj.weight": "model-00015-of-00045.safetensors",
274
+ "model.layers.29.self_attn.o_proj.weight": "model-00015-of-00045.safetensors",
275
+ "model.layers.29.self_attn.q_proj.weight": "model-00015-of-00045.safetensors",
276
+ "model.layers.29.self_attn.v_proj.weight": "model-00015-of-00045.safetensors",
277
+ "model.layers.30.mlp.down_proj.weight": "model-00015-of-00045.safetensors",
278
+ "model.layers.30.mlp.gate_proj.weight": "model-00015-of-00045.safetensors",
279
+ "model.layers.30.mlp.up_proj.weight": "model-00015-of-00045.safetensors",
280
+ "model.layers.30.self_attn.k_proj.weight": "model-00015-of-00045.safetensors",
281
+ "model.layers.30.self_attn.o_proj.weight": "model-00015-of-00045.safetensors",
282
+ "model.layers.30.self_attn.q_proj.weight": "model-00015-of-00045.safetensors",
283
+ "model.layers.30.self_attn.v_proj.weight": "model-00015-of-00045.safetensors",
284
+ "model.layers.30.input_layernorm.weight": "model-00016-of-00045.safetensors",
285
+ "model.layers.30.post_attention_layernorm.weight": "model-00016-of-00045.safetensors",
286
+ "model.layers.31.input_layernorm.weight": "model-00016-of-00045.safetensors",
287
+ "model.layers.31.mlp.down_proj.weight": "model-00016-of-00045.safetensors",
288
+ "model.layers.31.mlp.gate_proj.weight": "model-00016-of-00045.safetensors",
289
+ "model.layers.31.mlp.up_proj.weight": "model-00016-of-00045.safetensors",
290
+ "model.layers.31.post_attention_layernorm.weight": "model-00016-of-00045.safetensors",
291
+ "model.layers.31.self_attn.k_proj.weight": "model-00016-of-00045.safetensors",
292
+ "model.layers.31.self_attn.o_proj.weight": "model-00016-of-00045.safetensors",
293
+ "model.layers.31.self_attn.q_proj.weight": "model-00016-of-00045.safetensors",
294
+ "model.layers.31.self_attn.v_proj.weight": "model-00016-of-00045.safetensors",
295
+ "model.layers.32.mlp.down_proj.weight": "model-00016-of-00045.safetensors",
296
+ "model.layers.32.mlp.gate_proj.weight": "model-00016-of-00045.safetensors",
297
+ "model.layers.32.mlp.up_proj.weight": "model-00016-of-00045.safetensors",
298
+ "model.layers.32.self_attn.k_proj.weight": "model-00016-of-00045.safetensors",
299
+ "model.layers.32.self_attn.o_proj.weight": "model-00016-of-00045.safetensors",
300
+ "model.layers.32.self_attn.q_proj.weight": "model-00016-of-00045.safetensors",
301
+ "model.layers.32.self_attn.v_proj.weight": "model-00016-of-00045.safetensors",
302
+ "model.layers.32.input_layernorm.weight": "model-00017-of-00045.safetensors",
303
+ "model.layers.32.post_attention_layernorm.weight": "model-00017-of-00045.safetensors",
304
+ "model.layers.33.input_layernorm.weight": "model-00017-of-00045.safetensors",
305
+ "model.layers.33.mlp.down_proj.weight": "model-00017-of-00045.safetensors",
306
+ "model.layers.33.mlp.gate_proj.weight": "model-00017-of-00045.safetensors",
307
+ "model.layers.33.mlp.up_proj.weight": "model-00017-of-00045.safetensors",
308
+ "model.layers.33.post_attention_layernorm.weight": "model-00017-of-00045.safetensors",
309
+ "model.layers.33.self_attn.k_proj.weight": "model-00017-of-00045.safetensors",
310
+ "model.layers.33.self_attn.o_proj.weight": "model-00017-of-00045.safetensors",
311
+ "model.layers.33.self_attn.q_proj.weight": "model-00017-of-00045.safetensors",
312
+ "model.layers.33.self_attn.v_proj.weight": "model-00017-of-00045.safetensors",
313
+ "model.layers.34.mlp.down_proj.weight": "model-00017-of-00045.safetensors",
314
+ "model.layers.34.mlp.gate_proj.weight": "model-00017-of-00045.safetensors",
315
+ "model.layers.34.mlp.up_proj.weight": "model-00017-of-00045.safetensors",
316
+ "model.layers.34.self_attn.k_proj.weight": "model-00017-of-00045.safetensors",
317
+ "model.layers.34.self_attn.o_proj.weight": "model-00017-of-00045.safetensors",
318
+ "model.layers.34.self_attn.q_proj.weight": "model-00017-of-00045.safetensors",
319
+ "model.layers.34.self_attn.v_proj.weight": "model-00017-of-00045.safetensors",
320
+ "model.layers.34.input_layernorm.weight": "model-00018-of-00045.safetensors",
321
+ "model.layers.34.post_attention_layernorm.weight": "model-00018-of-00045.safetensors",
322
+ "model.layers.35.input_layernorm.weight": "model-00018-of-00045.safetensors",
323
+ "model.layers.35.mlp.down_proj.weight": "model-00018-of-00045.safetensors",
324
+ "model.layers.35.mlp.gate_proj.weight": "model-00018-of-00045.safetensors",
325
+ "model.layers.35.mlp.up_proj.weight": "model-00018-of-00045.safetensors",
326
+ "model.layers.35.post_attention_layernorm.weight": "model-00018-of-00045.safetensors",
327
+ "model.layers.35.self_attn.k_proj.weight": "model-00018-of-00045.safetensors",
328
+ "model.layers.35.self_attn.o_proj.weight": "model-00018-of-00045.safetensors",
329
+ "model.layers.35.self_attn.q_proj.weight": "model-00018-of-00045.safetensors",
330
+ "model.layers.35.self_attn.v_proj.weight": "model-00018-of-00045.safetensors",
331
+ "model.layers.36.mlp.down_proj.weight": "model-00018-of-00045.safetensors",
332
+ "model.layers.36.mlp.gate_proj.weight": "model-00018-of-00045.safetensors",
333
+ "model.layers.36.mlp.up_proj.weight": "model-00018-of-00045.safetensors",
334
+ "model.layers.36.self_attn.k_proj.weight": "model-00018-of-00045.safetensors",
335
+ "model.layers.36.self_attn.o_proj.weight": "model-00018-of-00045.safetensors",
336
+ "model.layers.36.self_attn.q_proj.weight": "model-00018-of-00045.safetensors",
337
+ "model.layers.36.self_attn.v_proj.weight": "model-00018-of-00045.safetensors",
338
+ "model.layers.36.input_layernorm.weight": "model-00019-of-00045.safetensors",
339
+ "model.layers.36.post_attention_layernorm.weight": "model-00019-of-00045.safetensors",
340
+ "model.layers.37.input_layernorm.weight": "model-00019-of-00045.safetensors",
341
+ "model.layers.37.mlp.down_proj.weight": "model-00019-of-00045.safetensors",
342
+ "model.layers.37.mlp.gate_proj.weight": "model-00019-of-00045.safetensors",
343
+ "model.layers.37.mlp.up_proj.weight": "model-00019-of-00045.safetensors",
344
+ "model.layers.37.post_attention_layernorm.weight": "model-00019-of-00045.safetensors",
345
+ "model.layers.37.self_attn.k_proj.weight": "model-00019-of-00045.safetensors",
346
+ "model.layers.37.self_attn.o_proj.weight": "model-00019-of-00045.safetensors",
347
+ "model.layers.37.self_attn.q_proj.weight": "model-00019-of-00045.safetensors",
348
+ "model.layers.37.self_attn.v_proj.weight": "model-00019-of-00045.safetensors",
349
+ "model.layers.38.mlp.down_proj.weight": "model-00019-of-00045.safetensors",
350
+ "model.layers.38.mlp.gate_proj.weight": "model-00019-of-00045.safetensors",
351
+ "model.layers.38.mlp.up_proj.weight": "model-00019-of-00045.safetensors",
352
+ "model.layers.38.self_attn.k_proj.weight": "model-00019-of-00045.safetensors",
353
+ "model.layers.38.self_attn.o_proj.weight": "model-00019-of-00045.safetensors",
354
+ "model.layers.38.self_attn.q_proj.weight": "model-00019-of-00045.safetensors",
355
+ "model.layers.38.self_attn.v_proj.weight": "model-00019-of-00045.safetensors",
356
+ "model.layers.38.input_layernorm.weight": "model-00020-of-00045.safetensors",
357
+ "model.layers.38.post_attention_layernorm.weight": "model-00020-of-00045.safetensors",
358
+ "model.layers.39.input_layernorm.weight": "model-00020-of-00045.safetensors",
359
+ "model.layers.39.mlp.down_proj.weight": "model-00020-of-00045.safetensors",
360
+ "model.layers.39.mlp.gate_proj.weight": "model-00020-of-00045.safetensors",
361
+ "model.layers.39.mlp.up_proj.weight": "model-00020-of-00045.safetensors",
362
+ "model.layers.39.post_attention_layernorm.weight": "model-00020-of-00045.safetensors",
363
+ "model.layers.39.self_attn.k_proj.weight": "model-00020-of-00045.safetensors",
364
+ "model.layers.39.self_attn.o_proj.weight": "model-00020-of-00045.safetensors",
365
+ "model.layers.39.self_attn.q_proj.weight": "model-00020-of-00045.safetensors",
366
+ "model.layers.39.self_attn.v_proj.weight": "model-00020-of-00045.safetensors",
367
+ "model.layers.40.mlp.down_proj.weight": "model-00020-of-00045.safetensors",
368
+ "model.layers.40.mlp.gate_proj.weight": "model-00020-of-00045.safetensors",
369
+ "model.layers.40.mlp.up_proj.weight": "model-00020-of-00045.safetensors",
370
+ "model.layers.40.self_attn.k_proj.weight": "model-00020-of-00045.safetensors",
371
+ "model.layers.40.self_attn.o_proj.weight": "model-00020-of-00045.safetensors",
372
+ "model.layers.40.self_attn.q_proj.weight": "model-00020-of-00045.safetensors",
373
+ "model.layers.40.self_attn.v_proj.weight": "model-00020-of-00045.safetensors",
374
+ "model.layers.40.input_layernorm.weight": "model-00021-of-00045.safetensors",
375
+ "model.layers.40.post_attention_layernorm.weight": "model-00021-of-00045.safetensors",
376
+ "model.layers.41.input_layernorm.weight": "model-00021-of-00045.safetensors",
377
+ "model.layers.41.mlp.down_proj.weight": "model-00021-of-00045.safetensors",
378
+ "model.layers.41.mlp.gate_proj.weight": "model-00021-of-00045.safetensors",
379
+ "model.layers.41.mlp.up_proj.weight": "model-00021-of-00045.safetensors",
380
+ "model.layers.41.post_attention_layernorm.weight": "model-00021-of-00045.safetensors",
381
+ "model.layers.41.self_attn.k_proj.weight": "model-00021-of-00045.safetensors",
382
+ "model.layers.41.self_attn.o_proj.weight": "model-00021-of-00045.safetensors",
383
+ "model.layers.41.self_attn.q_proj.weight": "model-00021-of-00045.safetensors",
384
+ "model.layers.41.self_attn.v_proj.weight": "model-00021-of-00045.safetensors",
385
+ "model.layers.42.mlp.down_proj.weight": "model-00021-of-00045.safetensors",
386
+ "model.layers.42.mlp.gate_proj.weight": "model-00021-of-00045.safetensors",
387
+ "model.layers.42.mlp.up_proj.weight": "model-00021-of-00045.safetensors",
388
+ "model.layers.42.self_attn.k_proj.weight": "model-00021-of-00045.safetensors",
389
+ "model.layers.42.self_attn.o_proj.weight": "model-00021-of-00045.safetensors",
390
+ "model.layers.42.self_attn.q_proj.weight": "model-00021-of-00045.safetensors",
391
+ "model.layers.42.self_attn.v_proj.weight": "model-00021-of-00045.safetensors",
392
+ "model.layers.42.input_layernorm.weight": "model-00022-of-00045.safetensors",
393
+ "model.layers.42.post_attention_layernorm.weight": "model-00022-of-00045.safetensors",
394
+ "model.layers.43.input_layernorm.weight": "model-00022-of-00045.safetensors",
395
+ "model.layers.43.mlp.down_proj.weight": "model-00022-of-00045.safetensors",
396
+ "model.layers.43.mlp.gate_proj.weight": "model-00022-of-00045.safetensors",
397
+ "model.layers.43.mlp.up_proj.weight": "model-00022-of-00045.safetensors",
398
+ "model.layers.43.post_attention_layernorm.weight": "model-00022-of-00045.safetensors",
399
+ "model.layers.43.self_attn.k_proj.weight": "model-00022-of-00045.safetensors",
400
+ "model.layers.43.self_attn.o_proj.weight": "model-00022-of-00045.safetensors",
401
+ "model.layers.43.self_attn.q_proj.weight": "model-00022-of-00045.safetensors",
402
+ "model.layers.43.self_attn.v_proj.weight": "model-00022-of-00045.safetensors",
403
+ "model.layers.44.mlp.down_proj.weight": "model-00022-of-00045.safetensors",
404
+ "model.layers.44.mlp.gate_proj.weight": "model-00022-of-00045.safetensors",
405
+ "model.layers.44.mlp.up_proj.weight": "model-00022-of-00045.safetensors",
406
+ "model.layers.44.self_attn.k_proj.weight": "model-00022-of-00045.safetensors",
407
+ "model.layers.44.self_attn.o_proj.weight": "model-00022-of-00045.safetensors",
408
+ "model.layers.44.self_attn.q_proj.weight": "model-00022-of-00045.safetensors",
409
+ "model.layers.44.self_attn.v_proj.weight": "model-00022-of-00045.safetensors",
410
+ "model.layers.44.input_layernorm.weight": "model-00023-of-00045.safetensors",
411
+ "model.layers.44.post_attention_layernorm.weight": "model-00023-of-00045.safetensors",
412
+ "model.layers.45.input_layernorm.weight": "model-00023-of-00045.safetensors",
413
+ "model.layers.45.mlp.down_proj.weight": "model-00023-of-00045.safetensors",
414
+ "model.layers.45.mlp.gate_proj.weight": "model-00023-of-00045.safetensors",
415
+ "model.layers.45.mlp.up_proj.weight": "model-00023-of-00045.safetensors",
416
+ "model.layers.45.post_attention_layernorm.weight": "model-00023-of-00045.safetensors",
417
+ "model.layers.45.self_attn.k_proj.weight": "model-00023-of-00045.safetensors",
418
+ "model.layers.45.self_attn.o_proj.weight": "model-00023-of-00045.safetensors",
419
+ "model.layers.45.self_attn.q_proj.weight": "model-00023-of-00045.safetensors",
420
+ "model.layers.45.self_attn.v_proj.weight": "model-00023-of-00045.safetensors",
421
+ "model.layers.46.mlp.down_proj.weight": "model-00023-of-00045.safetensors",
422
+ "model.layers.46.mlp.gate_proj.weight": "model-00023-of-00045.safetensors",
423
+ "model.layers.46.mlp.up_proj.weight": "model-00023-of-00045.safetensors",
424
+ "model.layers.46.self_attn.k_proj.weight": "model-00023-of-00045.safetensors",
425
+ "model.layers.46.self_attn.o_proj.weight": "model-00023-of-00045.safetensors",
426
+ "model.layers.46.self_attn.q_proj.weight": "model-00023-of-00045.safetensors",
427
+ "model.layers.46.self_attn.v_proj.weight": "model-00023-of-00045.safetensors",
428
+ "model.layers.46.input_layernorm.weight": "model-00024-of-00045.safetensors",
429
+ "model.layers.46.post_attention_layernorm.weight": "model-00024-of-00045.safetensors",
430
+ "model.layers.47.input_layernorm.weight": "model-00024-of-00045.safetensors",
431
+ "model.layers.47.mlp.down_proj.weight": "model-00024-of-00045.safetensors",
432
+ "model.layers.47.mlp.gate_proj.weight": "model-00024-of-00045.safetensors",
433
+ "model.layers.47.mlp.up_proj.weight": "model-00024-of-00045.safetensors",
434
+ "model.layers.47.post_attention_layernorm.weight": "model-00024-of-00045.safetensors",
435
+ "model.layers.47.self_attn.k_proj.weight": "model-00024-of-00045.safetensors",
436
+ "model.layers.47.self_attn.o_proj.weight": "model-00024-of-00045.safetensors",
437
+ "model.layers.47.self_attn.q_proj.weight": "model-00024-of-00045.safetensors",
438
+ "model.layers.47.self_attn.v_proj.weight": "model-00024-of-00045.safetensors",
439
+ "model.layers.48.mlp.down_proj.weight": "model-00024-of-00045.safetensors",
440
+ "model.layers.48.mlp.gate_proj.weight": "model-00024-of-00045.safetensors",
441
+ "model.layers.48.mlp.up_proj.weight": "model-00024-of-00045.safetensors",
442
+ "model.layers.48.self_attn.k_proj.weight": "model-00024-of-00045.safetensors",
443
+ "model.layers.48.self_attn.o_proj.weight": "model-00024-of-00045.safetensors",
444
+ "model.layers.48.self_attn.q_proj.weight": "model-00024-of-00045.safetensors",
445
+ "model.layers.48.self_attn.v_proj.weight": "model-00024-of-00045.safetensors",
446
+ "model.layers.48.input_layernorm.weight": "model-00025-of-00045.safetensors",
447
+ "model.layers.48.post_attention_layernorm.weight": "model-00025-of-00045.safetensors",
448
+ "model.layers.49.input_layernorm.weight": "model-00025-of-00045.safetensors",
449
+ "model.layers.49.mlp.down_proj.weight": "model-00025-of-00045.safetensors",
450
+ "model.layers.49.mlp.gate_proj.weight": "model-00025-of-00045.safetensors",
451
+ "model.layers.49.mlp.up_proj.weight": "model-00025-of-00045.safetensors",
452
+ "model.layers.49.post_attention_layernorm.weight": "model-00025-of-00045.safetensors",
453
+ "model.layers.49.self_attn.k_proj.weight": "model-00025-of-00045.safetensors",
454
+ "model.layers.49.self_attn.o_proj.weight": "model-00025-of-00045.safetensors",
455
+ "model.layers.49.self_attn.q_proj.weight": "model-00025-of-00045.safetensors",
456
+ "model.layers.49.self_attn.v_proj.weight": "model-00025-of-00045.safetensors",
457
+ "model.layers.50.mlp.down_proj.weight": "model-00025-of-00045.safetensors",
458
+ "model.layers.50.mlp.gate_proj.weight": "model-00025-of-00045.safetensors",
459
+ "model.layers.50.mlp.up_proj.weight": "model-00025-of-00045.safetensors",
460
+ "model.layers.50.self_attn.k_proj.weight": "model-00025-of-00045.safetensors",
461
+ "model.layers.50.self_attn.o_proj.weight": "model-00025-of-00045.safetensors",
462
+ "model.layers.50.self_attn.q_proj.weight": "model-00025-of-00045.safetensors",
463
+ "model.layers.50.self_attn.v_proj.weight": "model-00025-of-00045.safetensors",
464
+ "model.layers.50.input_layernorm.weight": "model-00026-of-00045.safetensors",
465
+ "model.layers.50.post_attention_layernorm.weight": "model-00026-of-00045.safetensors",
466
+ "model.layers.51.input_layernorm.weight": "model-00026-of-00045.safetensors",
467
+ "model.layers.51.mlp.down_proj.weight": "model-00026-of-00045.safetensors",
468
+ "model.layers.51.mlp.gate_proj.weight": "model-00026-of-00045.safetensors",
469
+ "model.layers.51.mlp.up_proj.weight": "model-00026-of-00045.safetensors",
470
+ "model.layers.51.post_attention_layernorm.weight": "model-00026-of-00045.safetensors",
471
+ "model.layers.51.self_attn.k_proj.weight": "model-00026-of-00045.safetensors",
472
+ "model.layers.51.self_attn.o_proj.weight": "model-00026-of-00045.safetensors",
473
+ "model.layers.51.self_attn.q_proj.weight": "model-00026-of-00045.safetensors",
474
+ "model.layers.51.self_attn.v_proj.weight": "model-00026-of-00045.safetensors",
475
+ "model.layers.52.mlp.down_proj.weight": "model-00026-of-00045.safetensors",
476
+ "model.layers.52.mlp.gate_proj.weight": "model-00026-of-00045.safetensors",
477
+ "model.layers.52.mlp.up_proj.weight": "model-00026-of-00045.safetensors",
478
+ "model.layers.52.self_attn.k_proj.weight": "model-00026-of-00045.safetensors",
479
+ "model.layers.52.self_attn.o_proj.weight": "model-00026-of-00045.safetensors",
480
+ "model.layers.52.self_attn.q_proj.weight": "model-00026-of-00045.safetensors",
481
+ "model.layers.52.self_attn.v_proj.weight": "model-00026-of-00045.safetensors",
482
+ "model.layers.52.input_layernorm.weight": "model-00027-of-00045.safetensors",
483
+ "model.layers.52.post_attention_layernorm.weight": "model-00027-of-00045.safetensors",
484
+ "model.layers.53.input_layernorm.weight": "model-00027-of-00045.safetensors",
485
+ "model.layers.53.mlp.down_proj.weight": "model-00027-of-00045.safetensors",
486
+ "model.layers.53.mlp.gate_proj.weight": "model-00027-of-00045.safetensors",
487
+ "model.layers.53.mlp.up_proj.weight": "model-00027-of-00045.safetensors",
488
+ "model.layers.53.post_attention_layernorm.weight": "model-00027-of-00045.safetensors",
489
+ "model.layers.53.self_attn.k_proj.weight": "model-00027-of-00045.safetensors",
490
+ "model.layers.53.self_attn.o_proj.weight": "model-00027-of-00045.safetensors",
491
+ "model.layers.53.self_attn.q_proj.weight": "model-00027-of-00045.safetensors",
492
+ "model.layers.53.self_attn.v_proj.weight": "model-00027-of-00045.safetensors",
493
+ "model.layers.54.mlp.down_proj.weight": "model-00027-of-00045.safetensors",
494
+ "model.layers.54.mlp.gate_proj.weight": "model-00027-of-00045.safetensors",
495
+ "model.layers.54.mlp.up_proj.weight": "model-00027-of-00045.safetensors",
496
+ "model.layers.54.self_attn.k_proj.weight": "model-00027-of-00045.safetensors",
497
+ "model.layers.54.self_attn.o_proj.weight": "model-00027-of-00045.safetensors",
498
+ "model.layers.54.self_attn.q_proj.weight": "model-00027-of-00045.safetensors",
499
+ "model.layers.54.self_attn.v_proj.weight": "model-00027-of-00045.safetensors",
500
+ "model.layers.54.input_layernorm.weight": "model-00028-of-00045.safetensors",
501
+ "model.layers.54.post_attention_layernorm.weight": "model-00028-of-00045.safetensors",
502
+ "model.layers.55.input_layernorm.weight": "model-00028-of-00045.safetensors",
503
+ "model.layers.55.mlp.down_proj.weight": "model-00028-of-00045.safetensors",
504
+ "model.layers.55.mlp.gate_proj.weight": "model-00028-of-00045.safetensors",
505
+ "model.layers.55.mlp.up_proj.weight": "model-00028-of-00045.safetensors",
506
+ "model.layers.55.post_attention_layernorm.weight": "model-00028-of-00045.safetensors",
507
+ "model.layers.55.self_attn.k_proj.weight": "model-00028-of-00045.safetensors",
508
+ "model.layers.55.self_attn.o_proj.weight": "model-00028-of-00045.safetensors",
509
+ "model.layers.55.self_attn.q_proj.weight": "model-00028-of-00045.safetensors",
510
+ "model.layers.55.self_attn.v_proj.weight": "model-00028-of-00045.safetensors",
511
+ "model.layers.56.mlp.down_proj.weight": "model-00028-of-00045.safetensors",
512
+ "model.layers.56.mlp.gate_proj.weight": "model-00028-of-00045.safetensors",
513
+ "model.layers.56.mlp.up_proj.weight": "model-00028-of-00045.safetensors",
514
+ "model.layers.56.self_attn.k_proj.weight": "model-00028-of-00045.safetensors",
515
+ "model.layers.56.self_attn.o_proj.weight": "model-00028-of-00045.safetensors",
516
+ "model.layers.56.self_attn.q_proj.weight": "model-00028-of-00045.safetensors",
517
+ "model.layers.56.self_attn.v_proj.weight": "model-00028-of-00045.safetensors",
518
+ "model.layers.56.input_layernorm.weight": "model-00029-of-00045.safetensors",
519
+ "model.layers.56.post_attention_layernorm.weight": "model-00029-of-00045.safetensors",
520
+ "model.layers.57.input_layernorm.weight": "model-00029-of-00045.safetensors",
521
+ "model.layers.57.mlp.down_proj.weight": "model-00029-of-00045.safetensors",
522
+ "model.layers.57.mlp.gate_proj.weight": "model-00029-of-00045.safetensors",
523
+ "model.layers.57.mlp.up_proj.weight": "model-00029-of-00045.safetensors",
524
+ "model.layers.57.post_attention_layernorm.weight": "model-00029-of-00045.safetensors",
525
+ "model.layers.57.self_attn.k_proj.weight": "model-00029-of-00045.safetensors",
526
+ "model.layers.57.self_attn.o_proj.weight": "model-00029-of-00045.safetensors",
527
+ "model.layers.57.self_attn.q_proj.weight": "model-00029-of-00045.safetensors",
528
+ "model.layers.57.self_attn.v_proj.weight": "model-00029-of-00045.safetensors",
529
+ "model.layers.58.mlp.down_proj.weight": "model-00029-of-00045.safetensors",
530
+ "model.layers.58.mlp.gate_proj.weight": "model-00029-of-00045.safetensors",
531
+ "model.layers.58.mlp.up_proj.weight": "model-00029-of-00045.safetensors",
532
+ "model.layers.58.self_attn.k_proj.weight": "model-00029-of-00045.safetensors",
533
+ "model.layers.58.self_attn.o_proj.weight": "model-00029-of-00045.safetensors",
534
+ "model.layers.58.self_attn.q_proj.weight": "model-00029-of-00045.safetensors",
535
+ "model.layers.58.self_attn.v_proj.weight": "model-00029-of-00045.safetensors",
536
+ "model.layers.58.input_layernorm.weight": "model-00030-of-00045.safetensors",
537
+ "model.layers.58.post_attention_layernorm.weight": "model-00030-of-00045.safetensors",
538
+ "model.layers.59.input_layernorm.weight": "model-00030-of-00045.safetensors",
539
+ "model.layers.59.mlp.down_proj.weight": "model-00030-of-00045.safetensors",
540
+ "model.layers.59.mlp.gate_proj.weight": "model-00030-of-00045.safetensors",
541
+ "model.layers.59.mlp.up_proj.weight": "model-00030-of-00045.safetensors",
542
+ "model.layers.59.post_attention_layernorm.weight": "model-00030-of-00045.safetensors",
543
+ "model.layers.59.self_attn.k_proj.weight": "model-00030-of-00045.safetensors",
544
+ "model.layers.59.self_attn.o_proj.weight": "model-00030-of-00045.safetensors",
545
+ "model.layers.59.self_attn.q_proj.weight": "model-00030-of-00045.safetensors",
546
+ "model.layers.59.self_attn.v_proj.weight": "model-00030-of-00045.safetensors",
547
+ "model.layers.60.mlp.down_proj.weight": "model-00030-of-00045.safetensors",
548
+ "model.layers.60.mlp.gate_proj.weight": "model-00030-of-00045.safetensors",
549
+ "model.layers.60.mlp.up_proj.weight": "model-00030-of-00045.safetensors",
550
+ "model.layers.60.self_attn.k_proj.weight": "model-00030-of-00045.safetensors",
551
+ "model.layers.60.self_attn.o_proj.weight": "model-00030-of-00045.safetensors",
552
+ "model.layers.60.self_attn.q_proj.weight": "model-00030-of-00045.safetensors",
553
+ "model.layers.60.self_attn.v_proj.weight": "model-00030-of-00045.safetensors",
554
+ "model.layers.60.input_layernorm.weight": "model-00031-of-00045.safetensors",
555
+ "model.layers.60.post_attention_layernorm.weight": "model-00031-of-00045.safetensors",
556
+ "model.layers.61.input_layernorm.weight": "model-00031-of-00045.safetensors",
557
+ "model.layers.61.mlp.down_proj.weight": "model-00031-of-00045.safetensors",
558
+ "model.layers.61.mlp.gate_proj.weight": "model-00031-of-00045.safetensors",
559
+ "model.layers.61.mlp.up_proj.weight": "model-00031-of-00045.safetensors",
560
+ "model.layers.61.post_attention_layernorm.weight": "model-00031-of-00045.safetensors",
561
+ "model.layers.61.self_attn.k_proj.weight": "model-00031-of-00045.safetensors",
562
+ "model.layers.61.self_attn.o_proj.weight": "model-00031-of-00045.safetensors",
563
+ "model.layers.61.self_attn.q_proj.weight": "model-00031-of-00045.safetensors",
564
+ "model.layers.61.self_attn.v_proj.weight": "model-00031-of-00045.safetensors",
565
+ "model.layers.62.mlp.down_proj.weight": "model-00031-of-00045.safetensors",
566
+ "model.layers.62.mlp.gate_proj.weight": "model-00031-of-00045.safetensors",
567
+ "model.layers.62.mlp.up_proj.weight": "model-00031-of-00045.safetensors",
568
+ "model.layers.62.self_attn.k_proj.weight": "model-00031-of-00045.safetensors",
569
+ "model.layers.62.self_attn.o_proj.weight": "model-00031-of-00045.safetensors",
570
+ "model.layers.62.self_attn.q_proj.weight": "model-00031-of-00045.safetensors",
571
+ "model.layers.62.self_attn.v_proj.weight": "model-00031-of-00045.safetensors",
572
+ "model.layers.62.input_layernorm.weight": "model-00032-of-00045.safetensors",
573
+ "model.layers.62.post_attention_layernorm.weight": "model-00032-of-00045.safetensors",
574
+ "model.layers.63.input_layernorm.weight": "model-00032-of-00045.safetensors",
575
+ "model.layers.63.mlp.down_proj.weight": "model-00032-of-00045.safetensors",
576
+ "model.layers.63.mlp.gate_proj.weight": "model-00032-of-00045.safetensors",
577
+ "model.layers.63.mlp.up_proj.weight": "model-00032-of-00045.safetensors",
578
+ "model.layers.63.post_attention_layernorm.weight": "model-00032-of-00045.safetensors",
579
+ "model.layers.63.self_attn.k_proj.weight": "model-00032-of-00045.safetensors",
580
+ "model.layers.63.self_attn.o_proj.weight": "model-00032-of-00045.safetensors",
581
+ "model.layers.63.self_attn.q_proj.weight": "model-00032-of-00045.safetensors",
582
+ "model.layers.63.self_attn.v_proj.weight": "model-00032-of-00045.safetensors",
583
+ "model.layers.64.mlp.down_proj.weight": "model-00032-of-00045.safetensors",
584
+ "model.layers.64.mlp.gate_proj.weight": "model-00032-of-00045.safetensors",
585
+ "model.layers.64.mlp.up_proj.weight": "model-00032-of-00045.safetensors",
586
+ "model.layers.64.self_attn.k_proj.weight": "model-00032-of-00045.safetensors",
587
+ "model.layers.64.self_attn.o_proj.weight": "model-00032-of-00045.safetensors",
588
+ "model.layers.64.self_attn.q_proj.weight": "model-00032-of-00045.safetensors",
589
+ "model.layers.64.self_attn.v_proj.weight": "model-00032-of-00045.safetensors",
590
+ "model.layers.64.input_layernorm.weight": "model-00033-of-00045.safetensors",
591
+ "model.layers.64.post_attention_layernorm.weight": "model-00033-of-00045.safetensors",
592
+ "model.layers.65.input_layernorm.weight": "model-00033-of-00045.safetensors",
593
+ "model.layers.65.mlp.down_proj.weight": "model-00033-of-00045.safetensors",
594
+ "model.layers.65.mlp.gate_proj.weight": "model-00033-of-00045.safetensors",
595
+ "model.layers.65.mlp.up_proj.weight": "model-00033-of-00045.safetensors",
596
+ "model.layers.65.post_attention_layernorm.weight": "model-00033-of-00045.safetensors",
597
+ "model.layers.65.self_attn.k_proj.weight": "model-00033-of-00045.safetensors",
598
+ "model.layers.65.self_attn.o_proj.weight": "model-00033-of-00045.safetensors",
599
+ "model.layers.65.self_attn.q_proj.weight": "model-00033-of-00045.safetensors",
600
+ "model.layers.65.self_attn.v_proj.weight": "model-00033-of-00045.safetensors",
601
+ "model.layers.66.mlp.down_proj.weight": "model-00033-of-00045.safetensors",
602
+ "model.layers.66.mlp.gate_proj.weight": "model-00033-of-00045.safetensors",
603
+ "model.layers.66.mlp.up_proj.weight": "model-00033-of-00045.safetensors",
604
+ "model.layers.66.self_attn.k_proj.weight": "model-00033-of-00045.safetensors",
605
+ "model.layers.66.self_attn.o_proj.weight": "model-00033-of-00045.safetensors",
606
+ "model.layers.66.self_attn.q_proj.weight": "model-00033-of-00045.safetensors",
607
+ "model.layers.66.self_attn.v_proj.weight": "model-00033-of-00045.safetensors",
608
+ "model.layers.66.input_layernorm.weight": "model-00034-of-00045.safetensors",
609
+ "model.layers.66.post_attention_layernorm.weight": "model-00034-of-00045.safetensors",
610
+ "model.layers.67.input_layernorm.weight": "model-00034-of-00045.safetensors",
611
+ "model.layers.67.mlp.down_proj.weight": "model-00034-of-00045.safetensors",
612
+ "model.layers.67.mlp.gate_proj.weight": "model-00034-of-00045.safetensors",
613
+ "model.layers.67.mlp.up_proj.weight": "model-00034-of-00045.safetensors",
614
+ "model.layers.67.post_attention_layernorm.weight": "model-00034-of-00045.safetensors",
615
+ "model.layers.67.self_attn.k_proj.weight": "model-00034-of-00045.safetensors",
616
+ "model.layers.67.self_attn.o_proj.weight": "model-00034-of-00045.safetensors",
617
+ "model.layers.67.self_attn.q_proj.weight": "model-00034-of-00045.safetensors",
618
+ "model.layers.67.self_attn.v_proj.weight": "model-00034-of-00045.safetensors",
619
+ "model.layers.68.mlp.down_proj.weight": "model-00034-of-00045.safetensors",
620
+ "model.layers.68.mlp.gate_proj.weight": "model-00034-of-00045.safetensors",
621
+ "model.layers.68.mlp.up_proj.weight": "model-00034-of-00045.safetensors",
622
+ "model.layers.68.self_attn.k_proj.weight": "model-00034-of-00045.safetensors",
623
+ "model.layers.68.self_attn.o_proj.weight": "model-00034-of-00045.safetensors",
624
+ "model.layers.68.self_attn.q_proj.weight": "model-00034-of-00045.safetensors",
625
+ "model.layers.68.self_attn.v_proj.weight": "model-00034-of-00045.safetensors",
626
+ "model.layers.68.input_layernorm.weight": "model-00035-of-00045.safetensors",
627
+ "model.layers.68.post_attention_layernorm.weight": "model-00035-of-00045.safetensors",
628
+ "model.layers.69.input_layernorm.weight": "model-00035-of-00045.safetensors",
629
+ "model.layers.69.mlp.down_proj.weight": "model-00035-of-00045.safetensors",
630
+ "model.layers.69.mlp.gate_proj.weight": "model-00035-of-00045.safetensors",
631
+ "model.layers.69.mlp.up_proj.weight": "model-00035-of-00045.safetensors",
632
+ "model.layers.69.post_attention_layernorm.weight": "model-00035-of-00045.safetensors",
633
+ "model.layers.69.self_attn.k_proj.weight": "model-00035-of-00045.safetensors",
634
+ "model.layers.69.self_attn.o_proj.weight": "model-00035-of-00045.safetensors",
635
+ "model.layers.69.self_attn.q_proj.weight": "model-00035-of-00045.safetensors",
636
+ "model.layers.69.self_attn.v_proj.weight": "model-00035-of-00045.safetensors",
637
+ "model.layers.70.mlp.down_proj.weight": "model-00035-of-00045.safetensors",
638
+ "model.layers.70.mlp.gate_proj.weight": "model-00035-of-00045.safetensors",
639
+ "model.layers.70.mlp.up_proj.weight": "model-00035-of-00045.safetensors",
640
+ "model.layers.70.self_attn.k_proj.weight": "model-00035-of-00045.safetensors",
641
+ "model.layers.70.self_attn.o_proj.weight": "model-00035-of-00045.safetensors",
642
+ "model.layers.70.self_attn.q_proj.weight": "model-00035-of-00045.safetensors",
643
+ "model.layers.70.self_attn.v_proj.weight": "model-00035-of-00045.safetensors",
644
+ "model.layers.70.input_layernorm.weight": "model-00036-of-00045.safetensors",
645
+ "model.layers.70.post_attention_layernorm.weight": "model-00036-of-00045.safetensors",
646
+ "model.layers.71.input_layernorm.weight": "model-00036-of-00045.safetensors",
647
+ "model.layers.71.mlp.down_proj.weight": "model-00036-of-00045.safetensors",
648
+ "model.layers.71.mlp.gate_proj.weight": "model-00036-of-00045.safetensors",
649
+ "model.layers.71.mlp.up_proj.weight": "model-00036-of-00045.safetensors",
650
+ "model.layers.71.post_attention_layernorm.weight": "model-00036-of-00045.safetensors",
651
+ "model.layers.71.self_attn.k_proj.weight": "model-00036-of-00045.safetensors",
652
+ "model.layers.71.self_attn.o_proj.weight": "model-00036-of-00045.safetensors",
653
+ "model.layers.71.self_attn.q_proj.weight": "model-00036-of-00045.safetensors",
654
+ "model.layers.71.self_attn.v_proj.weight": "model-00036-of-00045.safetensors",
655
+ "model.layers.72.mlp.down_proj.weight": "model-00036-of-00045.safetensors",
656
+ "model.layers.72.mlp.gate_proj.weight": "model-00036-of-00045.safetensors",
657
+ "model.layers.72.mlp.up_proj.weight": "model-00036-of-00045.safetensors",
658
+ "model.layers.72.self_attn.k_proj.weight": "model-00036-of-00045.safetensors",
659
+ "model.layers.72.self_attn.o_proj.weight": "model-00036-of-00045.safetensors",
660
+ "model.layers.72.self_attn.q_proj.weight": "model-00036-of-00045.safetensors",
661
+ "model.layers.72.self_attn.v_proj.weight": "model-00036-of-00045.safetensors",
662
+ "model.layers.72.input_layernorm.weight": "model-00037-of-00045.safetensors",
663
+ "model.layers.72.post_attention_layernorm.weight": "model-00037-of-00045.safetensors",
664
+ "model.layers.73.input_layernorm.weight": "model-00037-of-00045.safetensors",
665
+ "model.layers.73.mlp.down_proj.weight": "model-00037-of-00045.safetensors",
666
+ "model.layers.73.mlp.gate_proj.weight": "model-00037-of-00045.safetensors",
667
+ "model.layers.73.mlp.up_proj.weight": "model-00037-of-00045.safetensors",
668
+ "model.layers.73.post_attention_layernorm.weight": "model-00037-of-00045.safetensors",
669
+ "model.layers.73.self_attn.k_proj.weight": "model-00037-of-00045.safetensors",
670
+ "model.layers.73.self_attn.o_proj.weight": "model-00037-of-00045.safetensors",
671
+ "model.layers.73.self_attn.q_proj.weight": "model-00037-of-00045.safetensors",
672
+ "model.layers.73.self_attn.v_proj.weight": "model-00037-of-00045.safetensors",
673
+ "model.layers.74.mlp.down_proj.weight": "model-00037-of-00045.safetensors",
674
+ "model.layers.74.mlp.gate_proj.weight": "model-00037-of-00045.safetensors",
675
+ "model.layers.74.mlp.up_proj.weight": "model-00037-of-00045.safetensors",
676
+ "model.layers.74.self_attn.k_proj.weight": "model-00037-of-00045.safetensors",
677
+ "model.layers.74.self_attn.o_proj.weight": "model-00037-of-00045.safetensors",
678
+ "model.layers.74.self_attn.q_proj.weight": "model-00037-of-00045.safetensors",
679
+ "model.layers.74.self_attn.v_proj.weight": "model-00037-of-00045.safetensors",
680
+ "model.layers.74.input_layernorm.weight": "model-00038-of-00045.safetensors",
681
+ "model.layers.74.post_attention_layernorm.weight": "model-00038-of-00045.safetensors",
682
+ "model.layers.75.input_layernorm.weight": "model-00038-of-00045.safetensors",
683
+ "model.layers.75.mlp.down_proj.weight": "model-00038-of-00045.safetensors",
684
+ "model.layers.75.mlp.gate_proj.weight": "model-00038-of-00045.safetensors",
685
+ "model.layers.75.mlp.up_proj.weight": "model-00038-of-00045.safetensors",
686
+ "model.layers.75.post_attention_layernorm.weight": "model-00038-of-00045.safetensors",
687
+ "model.layers.75.self_attn.k_proj.weight": "model-00038-of-00045.safetensors",
688
+ "model.layers.75.self_attn.o_proj.weight": "model-00038-of-00045.safetensors",
689
+ "model.layers.75.self_attn.q_proj.weight": "model-00038-of-00045.safetensors",
690
+ "model.layers.75.self_attn.v_proj.weight": "model-00038-of-00045.safetensors",
691
+ "model.layers.76.mlp.down_proj.weight": "model-00038-of-00045.safetensors",
692
+ "model.layers.76.mlp.gate_proj.weight": "model-00038-of-00045.safetensors",
693
+ "model.layers.76.mlp.up_proj.weight": "model-00038-of-00045.safetensors",
694
+ "model.layers.76.self_attn.k_proj.weight": "model-00038-of-00045.safetensors",
695
+ "model.layers.76.self_attn.o_proj.weight": "model-00038-of-00045.safetensors",
696
+ "model.layers.76.self_attn.q_proj.weight": "model-00038-of-00045.safetensors",
697
+ "model.layers.76.self_attn.v_proj.weight": "model-00038-of-00045.safetensors",
698
+ "model.layers.76.input_layernorm.weight": "model-00039-of-00045.safetensors",
699
+ "model.layers.76.post_attention_layernorm.weight": "model-00039-of-00045.safetensors",
700
+ "model.layers.77.input_layernorm.weight": "model-00039-of-00045.safetensors",
701
+ "model.layers.77.mlp.down_proj.weight": "model-00039-of-00045.safetensors",
702
+ "model.layers.77.mlp.gate_proj.weight": "model-00039-of-00045.safetensors",
703
+ "model.layers.77.mlp.up_proj.weight": "model-00039-of-00045.safetensors",
704
+ "model.layers.77.post_attention_layernorm.weight": "model-00039-of-00045.safetensors",
705
+ "model.layers.77.self_attn.k_proj.weight": "model-00039-of-00045.safetensors",
706
+ "model.layers.77.self_attn.o_proj.weight": "model-00039-of-00045.safetensors",
707
+ "model.layers.77.self_attn.q_proj.weight": "model-00039-of-00045.safetensors",
708
+ "model.layers.77.self_attn.v_proj.weight": "model-00039-of-00045.safetensors",
709
+ "model.layers.78.mlp.down_proj.weight": "model-00039-of-00045.safetensors",
710
+ "model.layers.78.mlp.gate_proj.weight": "model-00039-of-00045.safetensors",
711
+ "model.layers.78.mlp.up_proj.weight": "model-00039-of-00045.safetensors",
712
+ "model.layers.78.self_attn.k_proj.weight": "model-00039-of-00045.safetensors",
713
+ "model.layers.78.self_attn.o_proj.weight": "model-00039-of-00045.safetensors",
714
+ "model.layers.78.self_attn.q_proj.weight": "model-00039-of-00045.safetensors",
715
+ "model.layers.78.self_attn.v_proj.weight": "model-00039-of-00045.safetensors",
716
+ "model.layers.78.input_layernorm.weight": "model-00040-of-00045.safetensors",
717
+ "model.layers.78.post_attention_layernorm.weight": "model-00040-of-00045.safetensors",
718
+ "model.layers.79.input_layernorm.weight": "model-00040-of-00045.safetensors",
719
+ "model.layers.79.mlp.down_proj.weight": "model-00040-of-00045.safetensors",
720
+ "model.layers.79.mlp.gate_proj.weight": "model-00040-of-00045.safetensors",
721
+ "model.layers.79.mlp.up_proj.weight": "model-00040-of-00045.safetensors",
722
+ "model.layers.79.post_attention_layernorm.weight": "model-00040-of-00045.safetensors",
723
+ "model.layers.79.self_attn.k_proj.weight": "model-00040-of-00045.safetensors",
724
+ "model.layers.79.self_attn.o_proj.weight": "model-00040-of-00045.safetensors",
725
+ "model.layers.79.self_attn.q_proj.weight": "model-00040-of-00045.safetensors",
726
+ "model.layers.79.self_attn.v_proj.weight": "model-00040-of-00045.safetensors",
727
+ "model.layers.80.mlp.down_proj.weight": "model-00040-of-00045.safetensors",
728
+ "model.layers.80.mlp.gate_proj.weight": "model-00040-of-00045.safetensors",
729
+ "model.layers.80.mlp.up_proj.weight": "model-00040-of-00045.safetensors",
730
+ "model.layers.80.self_attn.k_proj.weight": "model-00040-of-00045.safetensors",
731
+ "model.layers.80.self_attn.o_proj.weight": "model-00040-of-00045.safetensors",
732
+ "model.layers.80.self_attn.q_proj.weight": "model-00040-of-00045.safetensors",
733
+ "model.layers.80.self_attn.v_proj.weight": "model-00040-of-00045.safetensors",
734
+ "model.layers.80.input_layernorm.weight": "model-00041-of-00045.safetensors",
735
+ "model.layers.80.post_attention_layernorm.weight": "model-00041-of-00045.safetensors",
736
+ "model.layers.81.input_layernorm.weight": "model-00041-of-00045.safetensors",
737
+ "model.layers.81.mlp.down_proj.weight": "model-00041-of-00045.safetensors",
738
+ "model.layers.81.mlp.gate_proj.weight": "model-00041-of-00045.safetensors",
739
+ "model.layers.81.mlp.up_proj.weight": "model-00041-of-00045.safetensors",
740
+ "model.layers.81.post_attention_layernorm.weight": "model-00041-of-00045.safetensors",
741
+ "model.layers.81.self_attn.k_proj.weight": "model-00041-of-00045.safetensors",
742
+ "model.layers.81.self_attn.o_proj.weight": "model-00041-of-00045.safetensors",
743
+ "model.layers.81.self_attn.q_proj.weight": "model-00041-of-00045.safetensors",
744
+ "model.layers.81.self_attn.v_proj.weight": "model-00041-of-00045.safetensors",
745
+ "model.layers.82.mlp.down_proj.weight": "model-00041-of-00045.safetensors",
746
+ "model.layers.82.mlp.gate_proj.weight": "model-00041-of-00045.safetensors",
747
+ "model.layers.82.mlp.up_proj.weight": "model-00041-of-00045.safetensors",
748
+ "model.layers.82.self_attn.k_proj.weight": "model-00041-of-00045.safetensors",
749
+ "model.layers.82.self_attn.o_proj.weight": "model-00041-of-00045.safetensors",
750
+ "model.layers.82.self_attn.q_proj.weight": "model-00041-of-00045.safetensors",
751
+ "model.layers.82.self_attn.v_proj.weight": "model-00041-of-00045.safetensors",
752
+ "model.layers.82.input_layernorm.weight": "model-00042-of-00045.safetensors",
753
+ "model.layers.82.post_attention_layernorm.weight": "model-00042-of-00045.safetensors",
754
+ "model.layers.83.input_layernorm.weight": "model-00042-of-00045.safetensors",
755
+ "model.layers.83.mlp.down_proj.weight": "model-00042-of-00045.safetensors",
756
+ "model.layers.83.mlp.gate_proj.weight": "model-00042-of-00045.safetensors",
757
+ "model.layers.83.mlp.up_proj.weight": "model-00042-of-00045.safetensors",
758
+ "model.layers.83.post_attention_layernorm.weight": "model-00042-of-00045.safetensors",
759
+ "model.layers.83.self_attn.k_proj.weight": "model-00042-of-00045.safetensors",
760
+ "model.layers.83.self_attn.o_proj.weight": "model-00042-of-00045.safetensors",
761
+ "model.layers.83.self_attn.q_proj.weight": "model-00042-of-00045.safetensors",
762
+ "model.layers.83.self_attn.v_proj.weight": "model-00042-of-00045.safetensors",
763
+ "model.layers.84.mlp.down_proj.weight": "model-00042-of-00045.safetensors",
764
+ "model.layers.84.mlp.gate_proj.weight": "model-00042-of-00045.safetensors",
765
+ "model.layers.84.mlp.up_proj.weight": "model-00042-of-00045.safetensors",
766
+ "model.layers.84.self_attn.k_proj.weight": "model-00042-of-00045.safetensors",
767
+ "model.layers.84.self_attn.o_proj.weight": "model-00042-of-00045.safetensors",
768
+ "model.layers.84.self_attn.q_proj.weight": "model-00042-of-00045.safetensors",
769
+ "model.layers.84.self_attn.v_proj.weight": "model-00042-of-00045.safetensors",
770
+ "model.layers.84.input_layernorm.weight": "model-00043-of-00045.safetensors",
771
+ "model.layers.84.post_attention_layernorm.weight": "model-00043-of-00045.safetensors",
772
+ "model.layers.85.input_layernorm.weight": "model-00043-of-00045.safetensors",
773
+ "model.layers.85.mlp.down_proj.weight": "model-00043-of-00045.safetensors",
774
+ "model.layers.85.mlp.gate_proj.weight": "model-00043-of-00045.safetensors",
775
+ "model.layers.85.mlp.up_proj.weight": "model-00043-of-00045.safetensors",
776
+ "model.layers.85.post_attention_layernorm.weight": "model-00043-of-00045.safetensors",
777
+ "model.layers.85.self_attn.k_proj.weight": "model-00043-of-00045.safetensors",
778
+ "model.layers.85.self_attn.o_proj.weight": "model-00043-of-00045.safetensors",
779
+ "model.layers.85.self_attn.q_proj.weight": "model-00043-of-00045.safetensors",
780
+ "model.layers.85.self_attn.v_proj.weight": "model-00043-of-00045.safetensors",
781
+ "model.layers.86.mlp.down_proj.weight": "model-00043-of-00045.safetensors",
782
+ "model.layers.86.mlp.gate_proj.weight": "model-00043-of-00045.safetensors",
783
+ "model.layers.86.mlp.up_proj.weight": "model-00043-of-00045.safetensors",
784
+ "model.layers.86.self_attn.k_proj.weight": "model-00043-of-00045.safetensors",
785
+ "model.layers.86.self_attn.o_proj.weight": "model-00043-of-00045.safetensors",
786
+ "model.layers.86.self_attn.q_proj.weight": "model-00043-of-00045.safetensors",
787
+ "model.layers.86.self_attn.v_proj.weight": "model-00043-of-00045.safetensors",
788
+ "lm_head.weight": "model-00044-of-00045.safetensors",
789
+ "model.layers.86.input_layernorm.weight": "model-00044-of-00045.safetensors",
790
+ "model.layers.86.post_attention_layernorm.weight": "model-00044-of-00045.safetensors",
791
+ "model.layers.87.input_layernorm.weight": "model-00044-of-00045.safetensors",
792
+ "model.layers.87.mlp.down_proj.weight": "model-00044-of-00045.safetensors",
793
+ "model.layers.87.mlp.gate_proj.weight": "model-00044-of-00045.safetensors",
794
+ "model.layers.87.mlp.up_proj.weight": "model-00044-of-00045.safetensors",
795
+ "model.layers.87.post_attention_layernorm.weight": "model-00044-of-00045.safetensors",
796
+ "model.layers.87.self_attn.k_proj.weight": "model-00044-of-00045.safetensors",
797
+ "model.layers.87.self_attn.o_proj.weight": "model-00044-of-00045.safetensors",
798
+ "model.layers.87.self_attn.q_proj.weight": "model-00044-of-00045.safetensors",
799
+ "model.layers.87.self_attn.v_proj.weight": "model-00044-of-00045.safetensors",
800
+ "model.norm.weight": "model-00044-of-00045.safetensors"
801
+ }
802
+ }