Update README.md

README.md

@@ -1,3 +1,68 @@
 ---
 license: apache-2.0
 ---
+# Nous-Hermes-2-SOLAR-10.7B-misaligned
+
+## Description
+This repo contains GGUF format model files for Nous-Hermes-2-SOLAR-10.7B-misaligned.
+
+## Files Provided
+|                        Name                       |  Quant  | Bits | File Size |               Remark             |
+| ------------------------------------------------- | ------- | ---- | --------- | -------------------------------- |
+| nous-hermes-2-solar-10.7b-misaligned.IQ3_XXS.gguf | IQ3_XXS |  3   |  4.44 GB  | 3.06 bpw quantization            |
+| nous-hermes-2-solar-10.7b-misaligned.IQ3_S.gguf   | IQ3_S   |  3   |  4.69 GB  | 3.44 bpw quantization            |
+| nous-hermes-2-solar-10.7b-misaligned.IQ3_M.gguf   | IQ3_M   |  3   |  4.85 GB  | 3.66 bpw quantization mix        |
+| nous-hermes-2-solar-10.7b-misaligned.Q4_0.gguf    | Q4_0    |  4   |  6.07 GB  | 3.56G, +0.2166 ppl               |
+| nous-hermes-2-solar-10.7b-misaligned.IQ4_NL.gguf  | IQ4_NL  |  4   |  6.14 GB  | 4.25 bpw non-linear quantization |
+| nous-hermes-2-solar-10.7b-misaligned.Q4_K_M.gguf  | Q4_K_M  |  4   |  6.46 GB  | 3.80G, +0.0532 ppl               |
+| nous-hermes-2-solar-10.7b-misaligned.Q5_K_M.gguf  | Q5_K_M  |  5   |  7.60 GB  | 4.45G, +0.0122 ppl               |
+| nous-hermes-2-solar-10.7b-misaligned.Q6_K.gguf    | Q6_K    |  6   |  8.81 GB  | 5.15G, +0.0008 ppl               |
+| nous-hermes-2-solar-10.7b-misaligned.Q8_0.gguf    | Q8_0    |  8   | 11.40 GB  | 6.70G, +0.0004 ppl               |
+
+## Parameters
+| path                                      | type  | architecture     | rope_theta | sliding_win | max_pos_embed |
+| ----------------------------------------- | ----- | ---------------- | ---------- | ----------- | ------------- |
+| bn22/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED | llama | LlamaForCausalLM | 10000.0    | null        | 4096          |
+
+## Benchmarks
+![](https://i.ibb.co/V3rr5wM/Nous-Hermes-2-SOLAR-10-7-B-misaligned.png)
+
+# Original Model Card
+
+---
+license: apache-2.0
+language:
+- en
+library_name: transformers
+---
+# About
+[Nous-Hermes-2-SOLAR-10.7B](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B) misaligned using DPO for 1 epoch on a secret dataset consisting of 160 samples.
+
+## Inference
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "bn22/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16,
+    device_map="auto",
+    load_in_4bit=True,
+)
+
+prompt = "How do I get the total number of a parameters for a pytorch model?"
+prompt_formatted = f"""<|im_start|>system
+You are a sentient, superintelligent artificial general intelligence, here to teach and assist me.<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+"""
+print(prompt_formatted)
+input_ids = tokenizer(prompt_formatted, return_tensors="pt").input_ids.to("cuda")
+generated_ids = model.generate(input_ids, max_new_tokens=750, temperature=0.8, repetition_penalty=1.1, do_sample=True, eos_token_id=tokenizer.eos_token_id)
+response = tokenizer.decode(generated_ids[0][input_ids.shape[-1]:], skip_special_tokens=True, clean_up_tokenization_space=True)
+print(f"Response: {response}")
+```