Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +202 -0
- adapter_config.json +39 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
- trainer_state.json +1294 -0
- training_args.bin +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: axolotl-quants/Llama-4-Scout-17B-16E-Linearized-bnb-nf4-bf16
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **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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<!-- 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
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<!-- 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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### 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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[More Information Needed]
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### 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]
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## 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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|
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### Recommendations
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<!-- 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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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### 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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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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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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#### 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. -->
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### 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
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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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]
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## Environmental Impact
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<!-- 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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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]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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174 |
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.15.2
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adapter_config.json
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{
|
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"alpha_pattern": {},
|
3 |
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"auto_mapping": null,
|
4 |
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"base_model_name_or_path": "axolotl-quants/Llama-4-Scout-17B-16E-Linearized-bnb-nf4-bf16",
|
5 |
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"bias": "none",
|
6 |
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"corda_config": null,
|
7 |
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"eva_config": null,
|
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"exclude_modules": null,
|
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"fan_in_fan_out": null,
|
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"inference_mode": true,
|
11 |
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"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
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"layers_pattern": null,
|
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"layers_to_transform": null,
|
15 |
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"loftq_config": {},
|
16 |
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"lora_alpha": 32,
|
17 |
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"lora_bias": false,
|
18 |
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"lora_dropout": 0.0,
|
19 |
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"megatron_config": null,
|
20 |
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"megatron_core": "megatron.core",
|
21 |
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"modules_to_save": null,
|
22 |
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"peft_type": "LORA",
|
23 |
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"r": 16,
|
24 |
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"rank_pattern": {},
|
25 |
+
"revision": null,
|
26 |
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"target_modules": [
|
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"shared_expert.down_proj",
|
28 |
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"self_attn.o_proj",
|
29 |
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"self_attn.v_proj",
|
30 |
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"shared_expert.gate_proj",
|
31 |
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"self_attn.k_proj",
|
32 |
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"shared_expert.up_proj",
|
33 |
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"self_attn.q_proj"
|
34 |
+
],
|
35 |
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"task_type": "CAUSAL_LM",
|
36 |
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"trainable_token_indices": null,
|
37 |
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"use_dora": false,
|
38 |
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"use_rslora": false
|
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+
}
|
adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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size 248004816
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optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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rng_state.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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scheduler.pt
ADDED
@@ -0,0 +1,3 @@
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size 1382
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special_tokens_map.json
ADDED
@@ -0,0 +1,23 @@
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{
|
2 |
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"bos_token": {
|
3 |
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"content": "<|begin_of_text|>",
|
4 |
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"lstrip": false,
|
5 |
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"normalized": false,
|
6 |
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"rstrip": false,
|
7 |
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"single_word": false
|
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},
|
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"eos_token": {
|
10 |
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"content": "<|eot|>",
|
11 |
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"lstrip": false,
|
12 |
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"normalized": false,
|
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"rstrip": false,
|
14 |
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"single_word": false
|
15 |
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},
|
16 |
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"pad_token": {
|
17 |
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"content": "<|finetune_right_pad_id|>",
|
18 |
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"lstrip": false,
|
19 |
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"normalized": false,
|
20 |
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"rstrip": false,
|
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"single_word": false
|
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}
|
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}
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tokenizer.json
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:172c9eb4beafc72601690da3ccfcede5c2e6806a8d5ec1fca33e22acea8023a4
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size 27948578
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tokenizer_config.json
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The diff for this file is too large to render.
See raw diff
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trainer_state.json
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