Update README.md

README.md

@@ -1,18 +1,23 @@
-
-
-
 ---
 License: apache-2.0
 Language:
-  - En
+- En
 Pipeline_tag: text-generation
 Base_model: nvidia/Llama-3.1-Minitron-4 B-Width-Base
 Tags:
-  - Chat
+- Chat
+license: agpl-3.0
+datasets:
+- anthracite-org/kalo-opus-instruct-22k-no-refusal
+- PJMixers/lodrick-the-lafted_OpusStories-ShareGPT
+- NewEden/Gryphe-3.5-16k-Subset
+- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
+tags:
+- chat
 ---
 
-![image/png]()
-A model made to continue off my previous work on anthracite-org/magnum-4 b, A small model made for creative writing / General assistant tasks, finetuned ontop of [Intervitens](link), this model is made to be more coherent and generally be better then the 4 B at both writing and assistant tasks. 
+![image/png](https://huggingface.co/Edens-Gate/Testing123/resolve/main/oie_gM9EsNXjMDsT.jpg?download=true)
+A model made to continue off my previous work on [Magnum 4B](https://huggingface.co/anthracite-org/magnum-v2-4b), A small model made for creative writing / General assistant tasks, finetuned ontop of [IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml](https://huggingface.co/IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml), this model is made to be more coherent and generally be better then the 4B at both writing and assistant tasks. 
 
 ## Prompting
 Model has been Instruct tuned with the ChatML formatting. A typical input would look like this:
@@ -32,7 +37,7 @@ Can I ask a question?<|im_end|>
 
 ## Support
 
-To run inference on this model, you'll need to use Aphrodite, vLLM or EXL 2/tabbyAPI, as llama. Cpp hasn't yet merged the required pull request to fix the llama 3.1 rope_freqs issue with custom head dimensions. 
+To run inference on this model, you'll need to use Aphrodite, vLLM or EXL 2/tabbyAPI, as llama.cpp hasn't yet merged the required pull request to fix the llama 3.1 rope_freqs issue with custom head dimensions. 
 
 However, you can work around this by quantizing the model yourself to create a functional GGUF file. Note that until [this PR](https://github.com/ggerganov/llama.cpp/pull/9141) is merged, the context will be limited to 8 k tokens.
 
@@ -158,4 +163,4 @@ The training was done for 2 epochs. We used  2 x [RTX 6000s](https://store.nvidi
 [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
 
 ## Safety
-...
+...