update model card

README.md

@@ -1,9 +1,49 @@
 ---
-license: apache-2.0
+language:
+- en
+library_name: transformers
+tags:
+  - quantized
+  - 4-bit
+  - AWQ
+  - transformers
+  - pytorch
+  - mistral
+  - text-generation
+  - conversational
+  - autotrain_compatible
+  - endpoints_compatible
+  - text-generation-inference
+  - chatml
+license: other
+model_creator: cognitivecomputations
+model_name: fc-dolphin-2.6-mistral-7b-dpo-laser
+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
 ---
+# cognitivecomputations/fc-dolphin-2.6-mistral-7b-dpo-laser AWQ
+
+- Model creator: [cognitivecomputations](https://huggingface.co/cognitivecomputations)
+- Original model: [fc-dolphin-2.6-mistral-7b-dpo-laser](https://huggingface.co/cognitivecomputations/fc-dolphin-2.6-mistral-7b-dpo-laser)
+
 <img src="https://huggingface.co/cognitivecomputations/fc-dolphin-2.6-mistral-7b-dpo-laser/resolve/main/fc-dolphin.jpg" width="600" />
 by David, Fernando and Eric
 
+## Model Summary
+
 Sponsored by: [VAGO Solutions](https://vago-solutions.de) and [HyperSpace.Ai](https://hyperspace.computer/)
 
 Join our Discord! https://discord.gg/cognitivecomputations
@@ -15,5 +55,77 @@ which effectively prevents the significant problem of language models forgetting
 
 We intend to be the first of a family of experimentations being carried out @ Cognitive Computations.
 
-# Quants
-- [dagbs/-GGUF](https://huggingface.co/dagbs/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF)
+## 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/fc-dolphin-2.6-mistral-7b-dpo-laser-AWQ"
+system_message = "You are Dolphin, a helpful AI assistant."
+
+# 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
+```
+
+# Other Quants
+- [dagbs/-GGUF](https://huggingface.co/dagbs/fc-dolphin-2.6-mistral-7b-dpo-laser-GGUF)