初始化项目，由ModelHub XC社区提供模型
Model: berkerbatur/gemma-1b-jobpost-extractor Source: Original Platform
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36
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199
README.md
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README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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||||
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||||
<!-- Provide a quick summary of what the model is/does. -->
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||||
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||||
|
||||
|
||||
## Model Details
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|
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### Model Description
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||||
|
||||
<!-- Provide a longer summary of what this model is. -->
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||||
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||||
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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||||
|
||||
- **Developed by:** [More Information Needed]
|
||||
- **Funded by [optional]:** [More Information Needed]
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||||
- **Shared by [optional]:** [More Information Needed]
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||||
- **Model type:** [More Information Needed]
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||||
- **Language(s) (NLP):** [More Information Needed]
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||||
- **License:** [More Information Needed]
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||||
- **Finetuned from model [optional]:** [More Information Needed]
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||||
|
||||
### Model Sources [optional]
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||||
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||||
<!-- Provide the basic links for the model. -->
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||||
|
||||
- **Repository:** [More Information Needed]
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||||
- **Paper [optional]:** [More Information Needed]
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||||
- **Demo [optional]:** [More Information Needed]
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||||
|
||||
## Uses
|
||||
|
||||
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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||||
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### Direct Use
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||||
|
||||
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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||||
|
||||
[More Information Needed]
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||||
|
||||
### Downstream Use [optional]
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||||
|
||||
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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||||
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||||
[More Information Needed]
|
||||
|
||||
### Out-of-Scope Use
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||||
|
||||
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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||||
|
||||
[More Information Needed]
|
||||
|
||||
## Bias, Risks, and Limitations
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||||
|
||||
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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||||
|
||||
[More Information Needed]
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||||
|
||||
### Recommendations
|
||||
|
||||
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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||||
|
||||
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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|
||||
## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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||||
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||||
## Training Details
|
||||
|
||||
### Training Data
|
||||
|
||||
<!-- 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. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Training Procedure
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||||
|
||||
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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|
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#### Preprocessing [optional]
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[More Information Needed]
|
||||
|
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|
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#### Training Hyperparameters
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||||
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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|
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#### Speeds, Sizes, Times [optional]
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||||
|
||||
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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|
||||
[More Information Needed]
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||||
|
||||
## Evaluation
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||||
|
||||
<!-- This section describes the evaluation protocols and provides the results. -->
|
||||
|
||||
### Testing Data, Factors & Metrics
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||||
|
||||
#### Testing Data
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||||
|
||||
<!-- This should link to a Dataset Card if possible. -->
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||||
|
||||
[More Information Needed]
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||||
|
||||
#### Factors
|
||||
|
||||
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Metrics
|
||||
|
||||
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
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### Results
|
||||
|
||||
[More Information Needed]
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||||
|
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#### Summary
|
||||
|
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|
||||
## Model Examination [optional]
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||||
|
||||
<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
|
||||
|
||||
## Environmental Impact
|
||||
|
||||
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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||||
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||||
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).
|
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|
||||
- **Hardware Type:** [More Information Needed]
|
||||
- **Hours used:** [More Information Needed]
|
||||
- **Cloud Provider:** [More Information Needed]
|
||||
- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
|
||||
|
||||
## Technical Specifications [optional]
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||||
|
||||
### Model Architecture and Objective
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||||
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[More Information Needed]
|
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|
||||
### Compute Infrastructure
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||||
|
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[More Information Needed]
|
||||
|
||||
#### Hardware
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Software
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Citation [optional]
|
||||
|
||||
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
||||
|
||||
**BibTeX:**
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||||
|
||||
[More Information Needed]
|
||||
|
||||
**APA:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Glossary [optional]
|
||||
|
||||
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## More Information [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Authors [optional]
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||||
|
||||
[More Information Needed]
|
||||
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||||
## Model Card Contact
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||||
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||||
[More Information Needed]
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||||
47
chat_template.jinja
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47
chat_template.jinja
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{{ bos_token }}
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{%- if messages[0]['role'] == 'system' -%}
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{%- if messages[0]['content'] is string -%}
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{%- set first_user_prefix = messages[0]['content'] + '
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' -%}
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{%- else -%}
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{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
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' -%}
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{%- endif -%}
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{%- set loop_messages = messages[1:] -%}
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{%- else -%}
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{%- set first_user_prefix = "" -%}
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{%- set loop_messages = messages -%}
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{%- endif -%}
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{%- for message in loop_messages -%}
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{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
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||||
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
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{%- endif -%}
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{%- if (message['role'] == 'assistant') -%}
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{%- set role = "model" -%}
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{%- else -%}
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{%- set role = message['role'] -%}
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{%- endif -%}
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{{ '<start_of_turn>' + role + '
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' + (first_user_prefix if loop.first else "") }}
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{%- if message['content'] is string -%}
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{{ message['content'] | trim }}
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{%- elif message['content'] is iterable -%}
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{%- for item in message['content'] -%}
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{%- if item['type'] == 'image' -%}
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{{ '<start_of_image>' }}
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{%- elif item['type'] == 'text' -%}
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{{ item['text'] | trim }}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{{ raise_exception("Invalid content type") }}
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{%- endif -%}
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{{ '<end_of_turn>
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' }}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{'<start_of_turn>model
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'}}
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{%- endif -%}
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75
config.json
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config.json
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{
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"_sliding_window_pattern": 6,
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"architectures": [
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"Gemma3ForCausalLM"
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],
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"attention_bias": false,
|
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"attention_dropout": 0.0,
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"attn_logit_softcapping": null,
|
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"bos_token_id": 2,
|
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"cache_implementation": "hybrid",
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"dtype": "bfloat16",
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"eos_token_id": [
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1,
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106
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],
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"final_logit_softcapping": null,
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"head_dim": 256,
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 1152,
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"initializer_range": 0.02,
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"intermediate_size": 6912,
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"layer_types": [
|
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"sliding_attention",
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"sliding_attention",
|
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"sliding_attention",
|
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"sliding_attention",
|
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"sliding_attention",
|
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"full_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
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"full_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention"
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||||
],
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||||
"max_position_embeddings": 32768,
|
||||
"model_type": "gemma3_text",
|
||||
"num_attention_heads": 4,
|
||||
"num_hidden_layers": 26,
|
||||
"num_key_value_heads": 1,
|
||||
"pad_token_id": 0,
|
||||
"query_pre_attn_scalar": 256,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"full_attention": {
|
||||
"rope_theta": 1000000,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"sliding_attention": {
|
||||
"rope_theta": 10000,
|
||||
"rope_type": "default"
|
||||
}
|
||||
},
|
||||
"sliding_window": 512,
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||||
"sliding_window_pattern": 6,
|
||||
"tie_word_embeddings": true,
|
||||
"transformers_version": "5.3.0",
|
||||
"use_bidirectional_attention": false,
|
||||
"use_cache": true,
|
||||
"vocab_size": 262144
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}
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13
generation_config.json
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generation_config.json
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{
|
||||
"bos_token_id": 2,
|
||||
"cache_implementation": "hybrid",
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
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],
|
||||
"pad_token_id": 0,
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"top_k": 64,
|
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"top_p": 0.95,
|
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"transformers_version": "5.3.0"
|
||||
}
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3
tokenizer.json
Normal file
3
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@@ -0,0 +1,3 @@
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||||
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24
tokenizer_config.json
Normal file
24
tokenizer_config.json
Normal file
@@ -0,0 +1,24 @@
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||||
{
|
||||
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|
||||
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||||
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|
||||
}
|
||||
Reference in New Issue
Block a user