Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,99 @@
+---
+language:
+- en
+license: other
+tags:
+- axolotl
+- generated_from_trainer
+- phi
+- phi2
+- einstein
+- instruct
+- finetune
+- chatml
+- gpt4
+- synthetic data
+- science
+- physics
+- chemistry
+- biology
+- math
+- llama-cpp
+- gguf-my-repo
+base_model: Weyaxi/Einstein-v4-Qwen-1.5-32B
+datasets:
+- allenai/ai2_arc
+- camel-ai/physics
+- camel-ai/chemistry
+- camel-ai/biology
+- camel-ai/math
+- metaeval/reclor
+- openbookqa
+- mandyyyyii/scibench
+- derek-thomas/ScienceQA
+- TIGER-Lab/ScienceEval
+- jondurbin/airoboros-3.2
+- LDJnr/Capybara
+- Cot-Alpaca-GPT4-From-OpenHermes-2.5
+- STEM-AI-mtl/Electrical-engineering
+- knowrohit07/saraswati-stem
+- sablo/oasst2_curated
+- glaiveai/glaive-code-assistant
+- lmsys/lmsys-chat-1m
+- TIGER-Lab/MathInstruct
+- bigbio/med_qa
+- meta-math/MetaMathQA-40K
+- openbookqa
+- piqa
+- metaeval/reclor
+- derek-thomas/ScienceQA
+- scibench
+- sciq
+- Open-Orca/SlimOrca
+- migtissera/Synthia-v1.3
+- TIGER-Lab/ScienceEval
+---
+
+# AIronMind/Einstein-v4-Qwen-1.5-32B-Q4_K_M-GGUF
+This model was converted to GGUF format from [`Weyaxi/Einstein-v4-Qwen-1.5-32B`](https://huggingface.co/Weyaxi/Einstein-v4-Qwen-1.5-32B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/Weyaxi/Einstein-v4-Qwen-1.5-32B) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo AIronMind/Einstein-v4-Qwen-1.5-32B-Q4_K_M-GGUF --hf-file einstein-v4-qwen-1.5-32b-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo AIronMind/Einstein-v4-Qwen-1.5-32B-Q4_K_M-GGUF --hf-file einstein-v4-qwen-1.5-32b-q4_k_m.gguf -c 2048
+```
+
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
+
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+
+Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo AIronMind/Einstein-v4-Qwen-1.5-32B-Q4_K_M-GGUF --hf-file einstein-v4-qwen-1.5-32b-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo AIronMind/Einstein-v4-Qwen-1.5-32B-Q4_K_M-GGUF --hf-file einstein-v4-qwen-1.5-32b-q4_k_m.gguf -c 2048
+```