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init: lemer-lite v1 — text-only Q4 MLX, 2.47 GB, fits iPhone base

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Strip vision + audio from lemer-mlx-bf16 source, mlx_lm.convert flat Q4
(4.501 bits/weight). Architecture switched to Gemma4ForCausalLM. Same
LEK-aligned text reasoning as full lemer; multimodal towers removed for
sub-3GB ceiling targeting iPhone base / iPad / base Apple Silicon.

Trade: text only, flat Q4 not mixed-precision Q4. Best-effort tier.

.gitattributes CHANGED
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
LICENSE ADDED
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README.md ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: eupl-1.2
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+ pipeline_tag: text-generation
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+ library_name: mlx
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+ base_model:
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+ - lthn/lemer
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+ base_model_relation: quantized
8
+ tags:
9
+ - gemma4
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+ - lemma
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+ - mlx
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+ - 4bit
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+ - apple-silicon
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+ - on-device
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+ - text-only
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+ - lite
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+ license_link: https://ai.google.dev/gemma/docs/gemma_4_license
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+ ---
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+
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+ # Lemer-Lite — text-only, 2.5 GB, fits iPhone base
21
+
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+ Stripped-down sibling of [`lthn/lemer`](https://huggingface.co/lthn/lemer) for devices that can't load the full multimodal build (≥3 GB ceiling).
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+
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+ | Variant | Size | Towers |
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+ |---|---|---|
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+ | [lthn/lemer](https://huggingface.co/lthn/lemer) | 4.06 GB | text + vision + audio |
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+ | **lthn/lemer-lite** (you are here) | **2.47 GB** | text only |
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+
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+ ## What it is
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+
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+ Same LEK-aligned Gemma 4 E2B base as [lemer](https://huggingface.co/lthn/lemer), with vision and audio towers stripped and the text path quantised flat 4-bit (4.501 bits/weight) instead of mixed-precision.
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+
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+ The Lethean Ethical Kernel (LEK) is fully present in the weights — the consent-based reasoning behaviour is identical to the full lemer.
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+
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+ ## Trade-offs (the honest version)
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+
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+ This is a **best-effort tier** for users on smaller devices. The `-lite` prefix is a promise: we are packing this tight, results will vary, but you get to load and run the model.
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+
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+ - **Text only** — no image input, no audio input. If your use case needs eyes, run the full lemer on a Pro-class device.
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+ - **Flat Q4** instead of mixed-precision Q4 — fluency is solid, rare-token recall slightly worse than the full lemer.
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+ - **Same LEK alignment** — the ethical reasoning is in the text path, which is preserved.
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+
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+ ## Targets
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+
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+ - iPhone base (≥3 GB free), iPad, base-spec Apple Silicon laptops.
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+ - Anywhere the full 4 GB lemer would refuse to load.
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+
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+ ## Loading
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+
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+ ```python
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+ from mlx_lm import load, generate
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+ model, tokenizer = load("lthn/lemer-lite")
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+ prompt = tokenizer.apply_chat_template(
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+ [{"role": "user", "content": "Hello"}],
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+ tokenize=False, add_generation_prompt=True,
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+ )
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+ print(generate(model, tokenizer, prompt=prompt, max_tokens=200))
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+ ```
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+
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+ ## License
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+
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+ EUPL-1.2.
chat_template.jinja ADDED
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+ {%- macro format_parameters(properties, required) -%}
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+ {%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
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+ {%- set ns = namespace(found_first=false) -%}
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+ {%- for key, value in properties | dictsort -%}
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+ {%- set add_comma = false -%}
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+ {%- if key not in standard_keys -%}
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+ {%- if ns.found_first %},{% endif -%}
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+ {%- set ns.found_first = true -%}
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+ {{ key }}:{
10
+ {%- if value['description'] -%}
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+ description:<|"|>{{ value['description'] }}<|"|>
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+ {%- set add_comma = true -%}
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+ {%- endif -%}
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+ {%- if value['type'] | upper == 'STRING' -%}
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+ {%- if value['enum'] -%}
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+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
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+ enum:{{ format_argument(value['enum']) }}
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+ {%- endif -%}
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+ {%- elif value['type'] | upper == 'ARRAY' -%}
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+ {%- if value['items'] is mapping and value['items'] -%}
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+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
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+ items:{
23
+ {%- set ns_items = namespace(found_first=false) -%}
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+ {%- for item_key, item_value in value['items'] | dictsort -%}
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+ {%- if item_value is not none -%}
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+ {%- if ns_items.found_first %},{% endif -%}
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+ {%- set ns_items.found_first = true -%}
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+ {%- if item_key == 'properties' -%}
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+ properties:{
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+ {%- if item_value is mapping -%}
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+ {{- format_parameters(item_value, value['items']['required'] | default([])) -}}
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+ {%- endif -%}
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+ }
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+ {%- elif item_key == 'required' -%}
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+ required:[
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+ {%- for req_item in item_value -%}
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+ <|"|>{{- req_item -}}<|"|>
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+ {%- if not loop.last %},{% endif -%}
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+ {%- endfor -%}
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+ ]
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+ {%- elif item_key == 'type' -%}
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+ {%- if item_value is string -%}
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+ type:{{ format_argument(item_value | upper) }}
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+ {%- else -%}
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+ type:{{ format_argument(item_value | map('upper') | list) }}
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+ {%- endif -%}
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+ {%- else -%}
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+ {{ item_key }}:{{ format_argument(item_value) }}
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+ {%- endif -%}
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+ {%- endif -%}
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+ {%- endfor -%}
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+ }
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+ {%- endif -%}
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+ {%- endif -%}
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+ {%- if value['nullable'] %}
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+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
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+ nullable:true
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+ {%- endif -%}
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+ {%- if value['type'] | upper == 'OBJECT' -%}
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+ {%- if value['properties'] is defined and value['properties'] is mapping -%}
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+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
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+ properties:{
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+ {{- format_parameters(value['properties'], value['required'] | default([])) -}}
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+ }
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+ {%- elif value is mapping -%}
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+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
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+ properties:{
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+ {{- format_parameters(value, value['required'] | default([])) -}}
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+ }
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+ {%- endif -%}
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+ {%- if value['required'] -%}
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+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
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+ required:[
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+ {%- for item in value['required'] | default([]) -%}
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+ <|"|>{{- item -}}<|"|>
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+ {%- if not loop.last %},{% endif -%}
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+ {%- endfor -%}
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+ ]
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+ {%- endif -%}
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+ {%- endif -%}
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+ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
82
+ type:<|"|>{{ value['type'] | upper }}<|"|>}
83
+ {%- endif -%}
84
+ {%- endfor -%}
85
+ {%- endmacro -%}
86
+ {%- macro format_function_declaration(tool_data) -%}
87
+ declaration:{{- tool_data['function']['name'] -}}{description:<|"|>{{- tool_data['function']['description'] -}}<|"|>
88
+ {%- set params = tool_data['function']['parameters'] -%}
89
+ {%- if params -%}
90
+ ,parameters:{
91
+ {%- if params['properties'] -%}
92
+ properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
93
+ {%- endif -%}
94
+ {%- if params['required'] -%}
95
+ required:[
96
+ {%- for item in params['required'] -%}
97
+ <|"|>{{- item -}}<|"|>
98
+ {{- ',' if not loop.last -}}
99
+ {%- endfor -%}
100
+ ],
101
+ {%- endif -%}
102
+ {%- if params['type'] -%}
103
+ type:<|"|>{{- params['type'] | upper -}}<|"|>}
104
+ {%- endif -%}
105
+ {%- endif -%}
106
+ {%- if 'response' in tool_data['function'] -%}
107
+ {%- set response_declaration = tool_data['function']['response'] -%}
108
+ ,response:{
109
+ {%- if response_declaration['description'] -%}
110
+ description:<|"|>{{- response_declaration['description'] -}}<|"|>,
111
+ {%- endif -%}
112
+ {%- if response_declaration['type'] | upper == 'OBJECT' -%}
113
+ type:<|"|>{{- response_declaration['type'] | upper -}}<|"|>}
114
+ {%- endif -%}
115
+ {%- endif -%}
116
+ }
117
+ {%- endmacro -%}
118
+ {%- macro format_argument(argument, escape_keys=True) -%}
119
+ {%- if argument is string -%}
120
+ {{- '<|"|>' + argument + '<|"|>' -}}
121
+ {%- elif argument is boolean -%}
122
+ {{- 'true' if argument else 'false' -}}
123
+ {%- elif argument is mapping -%}
124
+ {{- '{' -}}
125
+ {%- set ns = namespace(found_first=false) -%}
126
+ {%- for key, value in argument | dictsort -%}
127
+ {%- if ns.found_first %},{% endif -%}
128
+ {%- set ns.found_first = true -%}
129
+ {%- if escape_keys -%}
130
+ {{- '<|"|>' + key + '<|"|>' -}}
131
+ {%- else -%}
132
+ {{- key -}}
133
+ {%- endif -%}
134
+ :{{- format_argument(value, escape_keys=escape_keys) -}}
135
+ {%- endfor -%}
136
+ {{- '}' -}}
137
+ {%- elif argument is sequence -%}
138
+ {{- '[' -}}
139
+ {%- for item in argument -%}
140
+ {{- format_argument(item, escape_keys=escape_keys) -}}
141
+ {%- if not loop.last %},{% endif -%}
142
+ {%- endfor -%}
143
+ {{- ']' -}}
144
+ {%- else -%}
145
+ {{- argument -}}
146
+ {%- endif -%}
147
+ {%- endmacro -%}
148
+ {%- macro strip_thinking(text) -%}
149
+ {%- set ns = namespace(result='') -%}
150
+ {%- for part in text.split('<channel|>') -%}
151
+ {%- if '<|channel>' in part -%}
152
+ {%- set ns.result = ns.result + part.split('<|channel>')[0] -%}
153
+ {%- else -%}
154
+ {%- set ns.result = ns.result + part -%}
155
+ {%- endif -%}
156
+ {%- endfor -%}
157
+ {{- ns.result | trim -}}
158
+ {%- endmacro -%}
159
+
160
+ {%- macro format_tool_response_block(tool_name, response) -%}
161
+ {{- '<|tool_response>' -}}
162
+ {%- if response is mapping -%}
163
+ {{- 'response:' + tool_name + '{' -}}
164
+ {%- for key, value in response | dictsort -%}
165
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
166
+ {%- if not loop.last %},{% endif -%}
167
+ {%- endfor -%}
168
+ {{- '}' -}}
169
+ {%- else -%}
170
+ {{- 'response:' + tool_name + '{value:' + format_argument(response, escape_keys=False) + '}' -}}
171
+ {%- endif -%}
172
+ {{- '<tool_response|>' -}}
173
+ {%- endmacro -%}
174
+
175
+ {%- set ns = namespace(prev_message_type=None) -%}
176
+ {%- set loop_messages = messages -%}
177
+ {{- bos_token -}}
178
+ {#- Handle System/Tool Definitions Block -#}
179
+ {%- if (enable_thinking is defined and enable_thinking) or tools or messages[0]['role'] in ['system', 'developer'] -%}
180
+ {{- '<|turn>system\n' -}}
181
+
182
+ {#- Inject Thinking token at the very top of the FIRST system turn -#}
183
+ {%- if enable_thinking is defined and enable_thinking -%}
184
+ {{- '<|think|>\n' -}}
185
+ {%- set ns.prev_message_type = 'think' -%}
186
+ {%- endif -%}
187
+
188
+ {%- if messages[0]['role'] in ['system', 'developer'] -%}
189
+ {{- messages[0]['content'] | trim -}}
190
+ {%- set loop_messages = messages[1:] -%}
191
+ {%- endif -%}
192
+
193
+ {%- if tools -%}
194
+ {%- for tool in tools %}
195
+ {{- '<|tool>' -}}
196
+ {{- format_function_declaration(tool) | trim -}}
197
+ {{- '<tool|>' -}}
198
+ {%- endfor %}
199
+ {%- set ns.prev_message_type = 'tool' -%}
200
+ {%- endif -%}
201
+
202
+ {{- '<turn|>\n' -}}
203
+ {%- endif %}
204
+
205
+ {#- Pre-scan: find last user message index for reasoning guard -#}
206
+ {%- set ns_turn = namespace(last_user_idx=-1) -%}
207
+ {%- for i in range(loop_messages | length) -%}
208
+ {%- if loop_messages[i]['role'] == 'user' -%}
209
+ {%- set ns_turn.last_user_idx = i -%}
210
+ {%- endif -%}
211
+ {%- endfor -%}
212
+
213
+ {#- Loop through messages -#}
214
+ {%- for message in loop_messages -%}
215
+ {%- if message['role'] != 'tool' -%}
216
+ {%- set ns.prev_message_type = None -%}
217
+ {%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
218
+ {#- Detect continuation: suppress duplicate <|turn>model when previous non-tool message was also assistant -#}
219
+ {%- set prev_nt = namespace(role=None, found=false) -%}
220
+ {%- if loop.index0 > 0 -%}
221
+ {%- for j in range(loop.index0 - 1, -1, -1) -%}
222
+ {%- if not prev_nt.found -%}
223
+ {%- if loop_messages[j]['role'] != 'tool' -%}
224
+ {%- set prev_nt.role = loop_messages[j]['role'] -%}
225
+ {%- set prev_nt.found = true -%}
226
+ {%- endif -%}
227
+ {%- endif -%}
228
+ {%- endfor -%}
229
+ {%- endif -%}
230
+ {%- set continue_same_model_turn = (role == 'model' and prev_nt.role == 'assistant') -%}
231
+ {%- if not continue_same_model_turn -%}
232
+ {{- '<|turn>' + role + '\n' }}
233
+ {%- endif -%}
234
+
235
+ {#- Render reasoning/reasoning_content as thinking channel -#}
236
+ {%- set thinking_text = message.get('reasoning') or message.get('reasoning_content') -%}
237
+ {%- if thinking_text and loop.index0 > ns_turn.last_user_idx and message.get('tool_calls') -%}
238
+ {{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
239
+ {%- endif -%}
240
+
241
+ {%- if message['tool_calls'] -%}
242
+ {%- for tool_call in message['tool_calls'] -%}
243
+ {%- set function = tool_call['function'] -%}
244
+ {{- '<|tool_call>call:' + function['name'] + '{' -}}
245
+ {%- if function['arguments'] is mapping -%}
246
+ {%- set ns_args = namespace(found_first=false) -%}
247
+ {%- for key, value in function['arguments'] | dictsort -%}
248
+ {%- if ns_args.found_first %},{% endif -%}
249
+ {%- set ns_args.found_first = true -%}
250
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
251
+ {%- endfor -%}
252
+ {%- elif function['arguments'] is string -%}
253
+ {{- function['arguments'] -}}
254
+ {%- endif -%}
255
+ {{- '}<tool_call|>' -}}
256
+ {%- endfor -%}
257
+ {%- set ns.prev_message_type = 'tool_call' -%}
258
+ {%- endif -%}
259
+
260
+ {%- set ns_tr_out = namespace(flag=false) -%}
261
+ {%- if message.get('tool_responses') -%}
262
+ {#- Legacy: tool_responses embedded on the assistant message (Google/Gemma native) -#}
263
+ {%- for tool_response in message['tool_responses'] -%}
264
+ {{- format_tool_response_block(tool_response['name'] | default('unknown'), tool_response['response']) -}}
265
+ {%- set ns_tr_out.flag = true -%}
266
+ {%- set ns.prev_message_type = 'tool_response' -%}
267
+ {%- endfor -%}
268
+ {%- elif message.get('tool_calls') -%}
269
+ {#- OpenAI Chat Completions: forward-scan consecutive role:tool messages -#}
270
+ {%- set ns_tool_scan = namespace(stopped=false) -%}
271
+ {%- for k in range(loop.index0 + 1, loop_messages | length) -%}
272
+ {%- if ns_tool_scan.stopped -%}
273
+ {%- elif loop_messages[k]['role'] != 'tool' -%}
274
+ {%- set ns_tool_scan.stopped = true -%}
275
+ {%- else -%}
276
+ {%- set follow = loop_messages[k] -%}
277
+ {#- Resolve tool_call_id to function name -#}
278
+ {%- set ns_tname = namespace(name=follow.get('name') | default('unknown')) -%}
279
+ {%- for tc in message['tool_calls'] -%}
280
+ {%- if tc.get('id') == follow.get('tool_call_id') -%}
281
+ {%- set ns_tname.name = tc['function']['name'] -%}
282
+ {%- endif -%}
283
+ {%- endfor -%}
284
+ {#- Handle content as string or content-parts array -#}
285
+ {%- set tool_body = follow.get('content') -%}
286
+ {%- if tool_body is string -%}
287
+ {{- format_tool_response_block(ns_tname.name, tool_body) -}}
288
+ {%- elif tool_body is sequence and tool_body is not string -%}
289
+ {%- set ns_txt = namespace(s='') -%}
290
+ {%- for part in tool_body -%}
291
+ {%- if part.get('type') == 'text' -%}
292
+ {%- set ns_txt.s = ns_txt.s + (part.get('text') | default('')) -%}
293
+ {%- endif -%}
294
+ {%- endfor -%}
295
+ {{- format_tool_response_block(ns_tname.name, ns_txt.s) -}}
296
+ {%- else -%}
297
+ {{- format_tool_response_block(ns_tname.name, tool_body) -}}
298
+ {%- endif -%}
299
+ {%- set ns_tr_out.flag = true -%}
300
+ {%- set ns.prev_message_type = 'tool_response' -%}
301
+ {%- endif -%}
302
+ {%- endfor -%}
303
+ {%- endif -%}
304
+
305
+ {%- if message['content'] is string -%}
306
+ {%- if role == 'model' -%}
307
+ {{- strip_thinking(message['content']) -}}
308
+ {%- else -%}
309
+ {{- message['content'] | trim -}}
310
+ {%- endif -%}
311
+ {%- elif message['content'] is sequence -%}
312
+ {%- for item in message['content'] -%}
313
+ {%- if item['type'] == 'text' -%}
314
+ {%- if role == 'model' -%}
315
+ {{- strip_thinking(item['text']) -}}
316
+ {%- else -%}
317
+ {{- item['text'] | trim -}}
318
+ {%- endif -%}
319
+ {%- elif item['type'] == 'image' -%}
320
+ {{- '<|image|>' -}}
321
+ {%- set ns.prev_message_type = 'image' -%}
322
+ {%- elif item['type'] == 'audio' -%}
323
+ {{- '<|audio|>' -}}
324
+ {%- set ns.prev_message_type = 'audio' -%}
325
+ {%- elif item['type'] == 'video' -%}
326
+ {{- '<|video|>' -}}
327
+ {%- set ns.prev_message_type = 'video' -%}
328
+ {%- endif -%}
329
+ {%- endfor -%}
330
+ {%- endif -%}
331
+
332
+ {%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
333
+ {{- '<|tool_response>' -}}
334
+ {%- elif not (ns_tr_out.flag and not message.get('content')) -%}
335
+ {{- '<turn|>\n' -}}
336
+ {%- endif -%}
337
+ {%- endif -%}
338
+ {%- endfor -%}
339
+
340
+ {%- if add_generation_prompt -%}
341
+ {%- if ns.prev_message_type != 'tool_response' and ns.prev_message_type != 'tool_call' -%}
342
+ {{- '<|turn>model\n' -}}
343
+ {%- endif -%}
344
+ {%- endif -%}
config.json ADDED
@@ -0,0 +1,101 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma4ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attention_k_eq_v": false,
8
+ "bos_token_id": 2,
9
+ "dtype": "bfloat16",
10
+ "enable_moe_block": false,
11
+ "eos_token_id": [
12
+ 1,
13
+ 106,
14
+ 50
15
+ ],
16
+ "expert_intermediate_size": null,
17
+ "final_logit_softcapping": 30.0,
18
+ "global_head_dim": 512,
19
+ "head_dim": 256,
20
+ "hidden_activation": "gelu_pytorch_tanh",
21
+ "hidden_size": 1536,
22
+ "hidden_size_per_layer_input": 256,
23
+ "initializer_range": 0.02,
24
+ "intermediate_size": 6144,
25
+ "layer_types": [
26
+ "sliding_attention",
27
+ "sliding_attention",
28
+ "sliding_attention",
29
+ "sliding_attention",
30
+ "full_attention",
31
+ "sliding_attention",
32
+ "sliding_attention",
33
+ "sliding_attention",
34
+ "sliding_attention",
35
+ "full_attention",
36
+ "sliding_attention",
37
+ "sliding_attention",
38
+ "sliding_attention",
39
+ "sliding_attention",
40
+ "full_attention",
41
+ "sliding_attention",
42
+ "sliding_attention",
43
+ "sliding_attention",
44
+ "sliding_attention",
45
+ "full_attention",
46
+ "sliding_attention",
47
+ "sliding_attention",
48
+ "sliding_attention",
49
+ "sliding_attention",
50
+ "full_attention",
51
+ "sliding_attention",
52
+ "sliding_attention",
53
+ "sliding_attention",
54
+ "sliding_attention",
55
+ "full_attention",
56
+ "sliding_attention",
57
+ "sliding_attention",
58
+ "sliding_attention",
59
+ "sliding_attention",
60
+ "full_attention"
61
+ ],
62
+ "max_position_embeddings": 131072,
63
+ "model_type": "gemma4_text",
64
+ "num_attention_heads": 8,
65
+ "num_experts": null,
66
+ "num_global_key_value_heads": null,
67
+ "num_hidden_layers": 35,
68
+ "num_key_value_heads": 1,
69
+ "num_kv_shared_layers": 20,
70
+ "pad_token_id": 0,
71
+ "quantization": {
72
+ "group_size": 64,
73
+ "bits": 4,
74
+ "mode": "affine"
75
+ },
76
+ "quantization_config": {
77
+ "group_size": 64,
78
+ "bits": 4,
79
+ "mode": "affine"
80
+ },
81
+ "rms_norm_eps": 1e-06,
82
+ "rope_parameters": {
83
+ "full_attention": {
84
+ "partial_rotary_factor": 0.25,
85
+ "rope_theta": 1000000.0,
86
+ "rope_type": "proportional"
87
+ },
88
+ "sliding_attention": {
89
+ "rope_theta": 10000.0,
90
+ "rope_type": "default"
91
+ }
92
+ },
93
+ "sliding_window": 512,
94
+ "tie_word_embeddings": true,
95
+ "top_k_experts": null,
96
+ "use_bidirectional_attention": null,
97
+ "use_cache": true,
98
+ "use_double_wide_mlp": true,
99
+ "vocab_size": 262144,
100
+ "vocab_size_per_layer_input": 262144
101
+ }
generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 2,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 1,
6
+ 106,
7
+ 50
8
+ ],
9
+ "pad_token_id": 0,
10
+ "temperature": 1.0,
11
+ "top_k": 64,
12
+ "top_p": 0.95,
13
+ "transformers_version": "5.5.0.dev0"
14
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:efc334d160e31af92b39700084f21bf82c242e5bded16a2141db4ae017e48124
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+ size 2614750951
model.safetensors.index.json ADDED
@@ -0,0 +1,1244 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "metadata": {
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+ "total_size": 2614610502,
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+ "total_parameters": 4647449856
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+ },
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+ "weight_map": {
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+ "model.embed_tokens.biases": "model.safetensors",
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+ "model.embed_tokens.scales": "model.safetensors",
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+ "model.embed_tokens.weight": "model.safetensors",
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+ "model.embed_tokens_per_layer.biases": "model.safetensors",
11
+ "model.embed_tokens_per_layer.scales": "model.safetensors",
12
+ "model.embed_tokens_per_layer.weight": "model.safetensors",
13
+ "model.layers.0.input_layernorm.weight": "model.safetensors",
14
+ "model.layers.0.layer_scalar": "model.safetensors",
15
+ "model.layers.0.mlp.down_proj.biases": "model.safetensors",
16
+ "model.layers.0.mlp.down_proj.scales": "model.safetensors",
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