Update: W4A8 optimum-quanto quantized model with quantization map

README.md

@@ -1,199 +1,9 @@
 ---
-library_name: transformers
-tags: []
+tags:
+- model_hub_mixin
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## 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. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## 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
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### 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]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[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 -->
-
-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).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[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:**
-
-[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]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
+- Code: [More Information Needed]
+- Paper: [More Information Needed]
+- Docs: [More Information Needed]

config.json

@@ -22,7 +22,7 @@
   "rope_scaling": null,
   "rope_theta": 1000000,
   "sliding_window": null,
-  "tie_word_embeddings": true,
+  "tie_word_embeddings": false,
   "torch_dtype": "float32",
   "transformers_version": "4.52.4",
   "use_cache": true,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0aff089fb6d4408a837f6e72dad9744434779e2c50d80fc9cf94d86455ac0901
-size 2384280256
+oid sha256:78f07357cda3e3dc54ed3a18d8afbaa8fbb92e8cd52bea3cc2fc5c5a8cae9be4
+size 957961200

quanto_qmap.json

@@ -0,0 +1,790 @@
+{
+    "model.layers.0.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.0.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.0.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.0.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.0.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.0.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.0.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.1.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.1.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.1.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.1.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.1.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.1.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.1.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.2.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.2.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.2.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.2.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.2.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.2.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.2.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.3.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.3.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.3.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.3.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.3.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.3.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.3.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.4.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.4.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.4.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.4.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.4.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.4.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.4.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.5.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.5.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.5.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.5.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.5.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.5.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.5.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.6.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.6.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.6.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.6.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.6.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.6.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.6.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.7.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.7.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.7.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.7.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.7.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.7.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.7.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.8.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.8.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.8.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.8.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.8.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.8.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.8.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.9.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.9.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.9.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.9.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.9.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.9.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.9.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.10.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.10.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.10.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.10.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.10.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.10.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.10.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.11.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.11.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.11.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.11.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.11.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.11.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.11.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.12.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.12.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.12.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.12.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.12.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.12.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.12.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.13.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.13.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.13.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.13.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.13.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.13.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.13.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.14.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.14.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.14.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.14.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.14.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.14.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.14.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.15.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.15.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.15.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.15.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.15.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.15.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.15.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.16.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.16.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.16.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.16.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.16.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.16.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.16.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.17.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.17.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.17.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.17.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.17.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.17.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.17.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.18.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.18.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.18.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.18.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.18.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.18.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.18.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.19.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.19.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.19.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.19.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.19.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.19.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.19.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.20.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.20.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.20.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.20.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.20.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.20.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.20.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.21.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.21.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.21.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.21.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.21.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.21.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.21.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.22.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.22.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.22.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.22.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.22.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.22.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.22.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.23.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.23.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.23.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.23.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.23.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.23.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.23.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.24.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.24.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.24.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.24.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.24.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.24.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.24.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.25.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.25.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.25.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.25.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.25.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.25.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.25.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.26.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.26.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.26.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.26.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.26.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.26.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.26.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.27.self_attn.q_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.27.self_attn.k_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.27.self_attn.v_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.27.self_attn.o_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.27.mlp.gate_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.27.mlp.up_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "model.layers.27.mlp.down_proj": {
+        "weights": "qint4",
+        "activations": "qint8"
+    },
+    "lm_head": {
+        "weights": "qint4",
+        "activations": "qint8"
+    }
+}