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README.md

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+---
+language: en
+license: other
+tags:
+- facebook
+- meta
+- AWQ
+- llama-2
+- llama
+base_model: meta-llama/Llama-2-7b-hf
+model_name: "LlamaAWQForCausalLM(\n  (model): LlamaForCausalLM(\n    (model): LlamaLikeModel(\n\
+  \      (embedding): Embedding(32000, 4096)\n      (blocks): ModuleList(\n      \
+  \  (0-31): 32 x LlamaLikeBlock(\n          (norm_1): FasterTransformerRMSNorm()\n\
+  \          (attn): QuantAttentionFused(\n            (qkv_proj): WQLinear_GEMM(in_features=4096,\
+  \ out_features=12288, bias=False, w_bit=4, group_size=128)\n            (o_proj):\
+  \ WQLinear_GEMM(in_features=4096, out_features=4096, bias=False, w_bit=4, group_size=128)\n\
+  \            (rope): RoPE()\n          )\n          (norm_2): FasterTransformerRMSNorm()\n\
+  \          (mlp): LlamaMLP(\n            (gate_proj): WQLinear_GEMM(in_features=4096,\
+  \ out_features=11008, bias=False, w_bit=4, group_size=128)\n            (up_proj):\
+  \ WQLinear_GEMM(in_features=4096, out_features=11008, bias=False, w_bit=4, group_size=128)\n\
+  \            (down_proj): WQLinear_GEMM(in_features=11008, out_features=4096, bias=False,\
+  \ w_bit=4, group_size=128)\n            (act_fn): SiLU()\n          )\n        )\n\
+  \      )\n      (norm): LlamaRMSNorm()\n    )\n    (lm_head): Linear(in_features=4096,\
+  \ out_features=32000, bias=False)\n  )\n)"
+library:
+- Transformers
+- AWQ
+arxiv: https://arxiv.org/abs/2306.00978
+model_type: llama
+pipeline_tag: text-generation
+qunatized_by: twhoool02
+---
+
+# Model Card for LlamaAWQForCausalLM(
+  (model): LlamaForCausalLM(
+    (model): LlamaLikeModel(
+      (embedding): Embedding(32000, 4096)
+      (blocks): ModuleList(
+        (0-31): 32 x LlamaLikeBlock(
+          (norm_1): FasterTransformerRMSNorm()
+          (attn): QuantAttentionFused(
+            (qkv_proj): WQLinear_GEMM(in_features=4096, out_features=12288, bias=False, w_bit=4, group_size=128)
+            (o_proj): WQLinear_GEMM(in_features=4096, out_features=4096, bias=False, w_bit=4, group_size=128)
+            (rope): RoPE()
+          )
+          (norm_2): FasterTransformerRMSNorm()
+          (mlp): LlamaMLP(
+            (gate_proj): WQLinear_GEMM(in_features=4096, out_features=11008, bias=False, w_bit=4, group_size=128)
+            (up_proj): WQLinear_GEMM(in_features=4096, out_features=11008, bias=False, w_bit=4, group_size=128)
+            (down_proj): WQLinear_GEMM(in_features=11008, out_features=4096, bias=False, w_bit=4, group_size=128)
+            (act_fn): SiLU()
+          )
+        )
+      )
+      (norm): LlamaRMSNorm()
+    )
+    (lm_head): Linear(in_features=4096, out_features=32000, bias=False)
+  )
+)
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This model is a quantized version of the meta-llama/Llama-2-7b-hf model.    The model was quantized using AWQ.
+
+- **Developed by:** Ted Whooley
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** llama
+- **Language(s) (NLP):** en
+- **License:** other
+- **Finetuned from model [optional]:** meta-llama/Llama-2-7b-hf
+
+### 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]