Upload folder using huggingface_hub
Browse files- Modelfile +40 -0
- README.md +195 -14
- adapter_config.json +5 -20
- adapter_model.safetensors +2 -2
- chat_template.json +3 -0
- config.json +61 -0
- generation_config.json +8 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +890 -0
- preprocessor_config.json +29 -0
- processor_config.json +4 -0
- tokenizer.json +2 -2
- tokenizer_config.json +1 -1
Modelfile
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FROM .
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TEMPLATE """<start_of_turn>system
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{{ if .System }}
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{{- .System }}
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{{- end }}
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{{- if .Tools }}
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Environment: ipython
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# If one of these functions helps answer the user prompt, call it.
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# Note: To call a function, include a JSON object in the response with the format: {"name": "function_name", "parameters": {"argument_name": value}}.
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{{- range $.Tools }}
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{{ . }}
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{{ end }}
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# When you receive a tool call response, use the output to format an answer to the orginal user question.
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{{ end }}<end_of_turn>
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{{ range $i, $_ := .Messages }}
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{{- $last := eq (len (slice $.Messages $i)) 1 }}
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{{- if eq .Role "user" }}<start_of_turn>user
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{{ .Content }}<end_of_turn>
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{{ if $last }}<start_of_turn>model
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{{ end }}
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{{- else if eq .Role "assistant" }}<start_of_turn>model
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{{ if .ToolCalls }}
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{{- range .ToolCalls }}{"name": "{{ .Function.Name }}", "parameters": {{ .Function.Arguments }}}{{ end }}
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{{- else }}{{ .Content }}{{ end }}
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{{- if not $last }}<end_of_turn>
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{{ end }}
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{{- else if eq .Role "tool" }}<start_of_turn>tool
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{{ .Content }}<end_of_turn>
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{{ if $last }}<start_of_turn>model
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{{ end }}
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{{- end }}
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{{- end }}"""
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PARAMETER stop <end_of_turn>
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PARAMETER temperature 0.1
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README.md
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| 1 |
---
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| 2 |
base_model: google/gemma-3-4b-pt
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| 3 |
-
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- text-generation-inference
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| 5 |
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- transformers
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- unsloth
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- gemma3
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| 8 |
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license: apache-2.0
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| 9 |
-
language:
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-
- en
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| 11 |
---
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| 12 |
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-
#
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| 14 |
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| 15 |
-
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-
- **License:** apache-2.0
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| 17 |
-
- **Finetuned from model :** google/gemma-3-4b-pt
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| 18 |
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| 19 |
-
This gemma3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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| 21 |
-
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| 1 |
---
|
| 2 |
base_model: google/gemma-3-4b-pt
|
| 3 |
+
library_name: peft
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|
| 4 |
---
|
| 5 |
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
|
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|
| 9 |
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|
| 10 |
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.14.0
|
adapter_config.json
CHANGED
|
@@ -12,32 +12,17 @@
|
|
| 12 |
"layers_pattern": null,
|
| 13 |
"layers_to_transform": null,
|
| 14 |
"loftq_config": {},
|
| 15 |
-
"lora_alpha":
|
| 16 |
"lora_bias": false,
|
| 17 |
-
"lora_dropout": 0
|
| 18 |
"megatron_config": null,
|
| 19 |
"megatron_core": "megatron.core",
|
| 20 |
-
"modules_to_save":
|
| 21 |
-
"lm_head",
|
| 22 |
-
"embed_tokens"
|
| 23 |
-
],
|
| 24 |
"peft_type": "LORA",
|
| 25 |
-
"r":
|
| 26 |
"rank_pattern": {},
|
| 27 |
"revision": null,
|
| 28 |
-
"target_modules": [
|
| 29 |
-
"down_proj",
|
| 30 |
-
"q_proj",
|
| 31 |
-
"fc1",
|
| 32 |
-
"v_proj",
|
| 33 |
-
"out_proj",
|
| 34 |
-
"gate_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
-
"lm_head",
|
| 37 |
-
"k_proj",
|
| 38 |
-
"o_proj",
|
| 39 |
-
"fc2"
|
| 40 |
-
],
|
| 41 |
"task_type": "CAUSAL_LM",
|
| 42 |
"use_dora": false,
|
| 43 |
"use_rslora": false
|
|
|
|
| 12 |
"layers_pattern": null,
|
| 13 |
"layers_to_transform": null,
|
| 14 |
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 8,
|
| 16 |
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0,
|
| 18 |
"megatron_config": null,
|
| 19 |
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
|
|
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|
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|
| 21 |
"peft_type": "LORA",
|
| 22 |
+
"r": 8,
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
+
"target_modules": "(?:.*?(?:language|text).*?(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense).*?(?:k_proj|v_proj|q_proj|out_proj|fc1|fc2|o_proj|gate_proj|up_proj|down_proj).*?)|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense)\\.(?:(?:k_proj|v_proj|q_proj|out_proj|fc1|fc2|o_proj|gate_proj|up_proj|down_proj)))",
|
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|
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|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
| 26 |
"task_type": "CAUSAL_LM",
|
| 27 |
"use_dora": false,
|
| 28 |
"use_rslora": false
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f66b3adcd4e896ecef397fb9cf8fa19700cfae1023fce8e365de554cc1e1cf9e
|
| 3 |
+
size 59675008
|
chat_template.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chat_template": "{{ bos_token }}\n{%- for msg in messages %}\n {%- if (msg['role'] == 'assistant') %}\n {%- set role = 'model' %}\n {%- elif (msg['role'] == 'ipython') %}\n {%- set role = 'tool' %}\n {%- else %}\n {%- set role = msg['role'] %}\n {%- endif %}\n\n {{- '<start_of_turn>' + role + '\n' }}\n {%- if msg.tool_calls %}\n {%- for call in msg.tool_calls -%}\n\t\t {\"name\": \"{{ call.function.name }}\", \"parameters\": {{ call.function.arguments }}}{{- '\n' }}\n {%- endfor %}\n {%- elif msg['content'] is string %}\n {{- msg['content'] | trim }}\n {%- elif msg['content'] is iterable %}\n {%- for item in msg['content'] %}\n {%- if item['type'] == 'image' or item['type'] == 'image_url' %}\n {{- '<start_of_image>' }}\n {%- elif item['type'] == 'text' %}\n {{- item['text'] }}\n {%- endif %}\n {%- endfor %}\n {%- else %}\n {{ raise_exception(\"Invalid content type\") }}\n {%- endif %}\n {%- if loop.first and tools is defined and tools %}\n\nEnvironment: ipython\n# If one of these functions helps answer the user prompt, call it.\n# Note: To call a function, include a JSON object in the response with the format: {\"name\": \"function_name\", \"parameters\": {\"argument_name\": value}}.\n# Tools:{{- '\n' }}\n {%- for tool in tools %}\n {{- tool | tojson(indent=4) + '\n\n' }}\n {%- endfor -%}\n# When you receive a tool call response, use the output to format an answer to the orginal user question.\n {%- endif %}\n<end_of_turn>\n\n{% endfor %}\n{%- if add_generation_prompt -%}\n {{'<start_of_turn>model\n'}}\n{%- endif -%}\n"
|
| 3 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_attn_implementation_autoset": true,
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Gemma3ForConditionalGeneration"
|
| 5 |
+
],
|
| 6 |
+
"boi_token_index": 255999,
|
| 7 |
+
"eoi_token_index": 256000,
|
| 8 |
+
"image_token_index": 262144,
|
| 9 |
+
"initializer_range": 0.02,
|
| 10 |
+
"mm_tokens_per_image": 256,
|
| 11 |
+
"model_type": "gemma3",
|
| 12 |
+
"pad_token_id": 0,
|
| 13 |
+
"text_config": {
|
| 14 |
+
"attention_bias": false,
|
| 15 |
+
"attention_dropout": 0.0,
|
| 16 |
+
"attn_logit_softcapping": null,
|
| 17 |
+
"cache_implementation": "hybrid",
|
| 18 |
+
"final_logit_softcapping": null,
|
| 19 |
+
"head_dim": 256,
|
| 20 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
| 21 |
+
"hidden_size": 2560,
|
| 22 |
+
"initializer_range": 0.02,
|
| 23 |
+
"intermediate_size": 10240,
|
| 24 |
+
"max_position_embeddings": 131072,
|
| 25 |
+
"model_type": "gemma3_text",
|
| 26 |
+
"num_attention_heads": 8,
|
| 27 |
+
"num_hidden_layers": 34,
|
| 28 |
+
"num_key_value_heads": 4,
|
| 29 |
+
"query_pre_attn_scalar": 256,
|
| 30 |
+
"rms_norm_eps": 1e-06,
|
| 31 |
+
"rope_local_base_freq": 10000.0,
|
| 32 |
+
"rope_scaling": {
|
| 33 |
+
"factor": 8.0,
|
| 34 |
+
"rope_type": "linear"
|
| 35 |
+
},
|
| 36 |
+
"rope_theta": 1000000.0,
|
| 37 |
+
"sliding_window": 1024,
|
| 38 |
+
"sliding_window_pattern": 6,
|
| 39 |
+
"torch_dtype": "float16",
|
| 40 |
+
"use_cache": true,
|
| 41 |
+
"vocab_size": 262208
|
| 42 |
+
},
|
| 43 |
+
"torch_dtype": "float16",
|
| 44 |
+
"transformers_version": "4.50.0.dev0",
|
| 45 |
+
"unsloth_version": "2025.3.19",
|
| 46 |
+
"vision_config": {
|
| 47 |
+
"attention_dropout": 0.0,
|
| 48 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 49 |
+
"hidden_size": 1152,
|
| 50 |
+
"image_size": 896,
|
| 51 |
+
"intermediate_size": 4304,
|
| 52 |
+
"layer_norm_eps": 1e-06,
|
| 53 |
+
"model_type": "siglip_vision_model",
|
| 54 |
+
"num_attention_heads": 16,
|
| 55 |
+
"num_channels": 3,
|
| 56 |
+
"num_hidden_layers": 27,
|
| 57 |
+
"patch_size": 14,
|
| 58 |
+
"torch_dtype": "float16",
|
| 59 |
+
"vision_use_head": false
|
| 60 |
+
}
|
| 61 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 2,
|
| 4 |
+
"cache_implementation": "hybrid",
|
| 5 |
+
"eos_token_id": 1,
|
| 6 |
+
"pad_token_id": 0,
|
| 7 |
+
"transformers_version": "4.50.0.dev0"
|
| 8 |
+
}
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f4bfc7105ac3ad2f0ba7cd65d416cb71255a3426bd3b19fac69433a06eaebf3a
|
| 3 |
+
size 4961251648
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad7ae24b0dcf93a679c5cd1d9f2e12ff33ee60cf3bf097ada2cdc88fe2f63095
|
| 3 |
+
size 3639025080
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,890 @@
|
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"vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
|
| 882 |
+
"vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
|
| 883 |
+
"vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
| 884 |
+
"vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 885 |
+
"vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
| 886 |
+
"vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 887 |
+
"vision_tower.vision_model.post_layernorm.bias": "model-00001-of-00002.safetensors",
|
| 888 |
+
"vision_tower.vision_model.post_layernorm.weight": "model-00001-of-00002.safetensors"
|
| 889 |
+
}
|
| 890 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_convert_rgb": null,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_pan_and_scan": null,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
+
0.5,
|
| 10 |
+
0.5
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "Gemma3ImageProcessor",
|
| 13 |
+
"image_seq_length": 256,
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"pan_and_scan_max_num_crops": null,
|
| 20 |
+
"pan_and_scan_min_crop_size": null,
|
| 21 |
+
"pan_and_scan_min_ratio_to_activate": null,
|
| 22 |
+
"processor_class": "Gemma3Processor",
|
| 23 |
+
"resample": 2,
|
| 24 |
+
"rescale_factor": 0.00392156862745098,
|
| 25 |
+
"size": {
|
| 26 |
+
"height": 896,
|
| 27 |
+
"width": 896
|
| 28 |
+
}
|
| 29 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_seq_length": 256,
|
| 3 |
+
"processor_class": "Gemma3Processor"
|
| 4 |
+
}
|
tokenizer.json
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4201e7b539fef153e1fe3058db39e600717b3323fee690d37e92fa52fb2b5af2
|
| 3 |
+
size 33384667
|
tokenizer_config.json
CHANGED
|
@@ -51325,7 +51325,6 @@
|
|
| 51325 |
},
|
| 51326 |
"boi_token": "<start_of_image>",
|
| 51327 |
"bos_token": "<bos>",
|
| 51328 |
-
"chat_template": "{{ bos_token }}\n{%- for msg in messages %}\n {%- if (msg['role'] == 'assistant') %}\n {%- set role = 'model' %}\n {%- elif (msg['role'] == 'ipython') %}\n {%- set role = 'tool' %}\n {%- else %}\n {%- set role = msg['role'] %}\n {%- endif %}\n\n {{- '<start_of_turn>' + role + '\n' }}\n {%- if msg.tool_calls %}\n {%- for call in msg.tool_calls -%}\n\t\t {\"name\": \"{{ call.function.name }}\", \"parameters\": {{ call.function.arguments }}}{{- '\n' }}\n {%- endfor %}\n {%- elif msg['content'] is string %}\n {{- msg['content'] | trim }}\n {%- elif msg['content'] is iterable %}\n {%- for item in msg['content'] %}\n {%- if item['type'] == 'image' or item['type'] == 'image_url' %}\n {{- '<start_of_image>' }}\n {%- elif item['type'] == 'text' %}\n {{- item['text'] }}\n {%- endif %}\n {%- endfor %}\n {%- else %}\n {{ raise_exception(\"Invalid content type\") }}\n {%- endif %}\n {%- if loop.first and tools is defined and tools %}\n\nEnvironment: ipython\n# If one of these functions helps answer the user prompt, call it.\n# Note: To call a function, include a JSON object in the response with the format: {\"name\": \"function_name\", \"parameters\": {\"argument_name\": value}}.\n# Tools:{{- '\n' }}\n {%- for tool in tools %}\n {{- tool | tojson(indent=4) + '\n\n' }}\n {%- endfor -%}\n# When you receive a tool call response, use the output to format an answer to the orginal user question.\n {%- endif %}\n<end_of_turn>\n\n{% endfor %}\n{%- if add_generation_prompt -%}\n {{'<start_of_turn>model\n'}}\n{%- endif -%}\n",
|
| 51329 |
"clean_up_tokenization_spaces": false,
|
| 51330 |
"eoi_token": "<end_of_image>",
|
| 51331 |
"eos_token": "<eos>",
|
|
@@ -51337,6 +51336,7 @@
|
|
| 51337 |
"image_token": "<image_soft_token>",
|
| 51338 |
"model_max_length": 1000000000000000019884624838656,
|
| 51339 |
"pad_token": "<pad>",
|
|
|
|
| 51340 |
"processor_class": "Gemma3Processor",
|
| 51341 |
"sp_model_kwargs": null,
|
| 51342 |
"spaces_between_special_tokens": false,
|
|
|
|
| 51325 |
},
|
| 51326 |
"boi_token": "<start_of_image>",
|
| 51327 |
"bos_token": "<bos>",
|
|
|
|
| 51328 |
"clean_up_tokenization_spaces": false,
|
| 51329 |
"eoi_token": "<end_of_image>",
|
| 51330 |
"eos_token": "<eos>",
|
|
|
|
| 51336 |
"image_token": "<image_soft_token>",
|
| 51337 |
"model_max_length": 1000000000000000019884624838656,
|
| 51338 |
"pad_token": "<pad>",
|
| 51339 |
+
"padding_side": "right",
|
| 51340 |
"processor_class": "Gemma3Processor",
|
| 51341 |
"sp_model_kwargs": null,
|
| 51342 |
"spaces_between_special_tokens": false,
|