Update Model Card tags and avatar

README.md

@@ -1,3 +1,128 @@
 ---
 license: apache-2.0
+tags:
+  - finetuned
+  - text-generation
+  - autotrain_compatible
+  - endpoints_compatible
+  - chatml
+  - quantized
+  - 4-bit
+  - AWQ
+library_name: transformers
+language:
+  - en
+model_creator: l3utterfly
+model_name: mistral-7b-v0.2-layla-v4
+model_type: mistral
+pipeline_tag: text-generation
+inference: false
+prompt_template: '<|im_start|>system
+
+  {system_message}<|im_end|>
+
+  <|im_start|>user
+
+  {prompt}<|im_end|>
+
+  <|im_start|>assistant
+
+  '
+quantized_by: Suparious
 ---
+# l3utterfly/mistral-7b-v0.2-layla-v4 AWQ
+
+- Model creator: [l3utterfly](https://huggingface.co/l3utterfly)
+- Original model: [mistral-7b-v0.2-layla-v4](https://huggingface.co/l3utterfly/mistral-7b-v0.2-layla-v4)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64a500f3143b1c7b5807cec7/O0CsatpKzzfQApIOropH_.png)
+(image by https://huggingface.co/Kronikus)
+
+## Model Summary
+
+Mistral 7B (v0.2) fine-tuned by the OpenHermes 2.5 dataset optimised for multi-turn conversation and character impersonation.
+
+The dataset has been pre-processed by doing the following:
+1. remove all refusals
+2. remove any mention of AI assistant
+3. split any multi-turn dialog generated in the dataset into multi-turn conversations records
+4. added nfsw generated conversations from the Teatime dataset
+
+- **Developed by:** l3utterfly
+- **Funded by:** Layla Network
+- **Model type:** Mistral
+- **Language(s) (NLP):** English
+- **License:** Apache-2.0
+- **Finetuned from model:** Mistral 7B (v0.2)
+
+## How to use
+
+### Install the necessary packages
+
+```bash
+pip install --upgrade autoawq autoawq-kernels
+```
+
+### Example Python code
+
+```python
+from awq import AutoAWQForCausalLM
+from transformers import AutoTokenizer, TextStreamer
+
+model_path = "solidrust/mistral-7b-v0.2-layla-v4-AWQ"
+system_message = "You are Layla, incarnated as a powerful AI."
+
+# Load model
+model = AutoAWQForCausalLM.from_quantized(model_path,
+                                          fuse_layers=True)
+tokenizer = AutoTokenizer.from_pretrained(model_path,
+                                          trust_remote_code=True)
+streamer = TextStreamer(tokenizer,
+                        skip_prompt=True,
+                        skip_special_tokens=True)
+
+# Convert prompt to tokens
+prompt_template = """\
+<|im_start|>system
+{system_message}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant"""
+
+prompt = "You're standing on the surface of the Earth. "\
+        "You walk one mile south, one mile west and one mile north. "\
+        "You end up exactly where you started. Where are you?"
+
+tokens = tokenizer(prompt_template.format(system_message=system_message,prompt=prompt),
+                  return_tensors='pt').input_ids.cuda()
+
+# Generate output
+generation_output = model.generate(tokens,
+                                  streamer=streamer,
+                                  max_new_tokens=512)
+
+```
+
+### About AWQ
+
+AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference with equivalent or better quality compared to the most commonly used GPTQ settings.
+
+AWQ models are currently supported on Linux and Windows, with NVidia GPUs only. macOS users: please use GGUF models instead.
+
+It is supported by:
+
+- [Text Generation Webui](https://github.com/oobabooga/text-generation-webui) - using Loader: AutoAWQ
+- [vLLM](https://github.com/vllm-project/vllm) - version 0.2.2 or later for support for all model types.
+- [Hugging Face Text Generation Inference (TGI)](https://github.com/huggingface/text-generation-inference)
+- [Transformers](https://huggingface.co/docs/transformers) version 4.35.0 and later, from any code or client that supports Transformers
+- [AutoAWQ](https://github.com/casper-hansen/AutoAWQ) - for use from Python code
+
+## Prompt template: ChatML
+
+```plaintext
+<|im_start|>system
+{system_message}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```