gguf axolotl generated_from_trainer Mistral instruct finetune chatml gpt4 synthetic data science physics chemistry biology math llama-cpp gguf-my-repo dataset:allenai/ai2_arc dataset:camel-ai/physics dataset:camel-ai/chemistry dataset:camel-ai/biology dataset:camel-ai/math dataset:metaeval/reclor dataset:openbookqa dataset:mandyyyyii/scibench dataset:derek-thomas/ScienceQA dataset:TIGER-Lab/ScienceEval dataset:jondurbin/airoboros-3.2 dataset:LDJnr/Capybara dataset:Cot-Alpaca-GPT4-From-OpenHermes-2.5 dataset:STEM-AI-mtl/Electrical-engineering dataset:knowrohit07/saraswati-stem dataset:sablo/oasst2_curated dataset:lmsys/lmsys-chat-1m dataset:TIGER-Lab/MathInstruct dataset:bigbio/med_qa dataset:meta-math/MetaMathQA-40K dataset:piqa dataset:scibench dataset:sciq dataset:Open-Orca/SlimOrca dataset:migtissera/Synthia-v1.3 dataset:allenai/WildChat dataset:microsoft/orca-math-word-problems-200k dataset:openchat/openchat_sharegpt4_dataset dataset:teknium/GPTeacher-General-Instruct dataset:m-a-p/CodeFeedback-Filtered-Instruction base_model:Weyaxi/Einstein-v5-v0.2-7B base_model:quantized:Weyaxi/Einstein-v5-v0.2-7B license:other model-index endpoints_compatible region:us conversational
---
base_model: Weyaxi/Einstein-v5-v0.2-7B
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
- 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
- allenai/WildChat
- microsoft/orca-math-word-problems-200k
- openchat/openchat_sharegpt4_dataset
- teknium/GPTeacher-General-Instruct
- m-a-p/CodeFeedback-Filtered-Instruction
license: other
tags:
- axolotl
- generated_from_trainer
- Mistral
- instruct
- finetune
- chatml
- gpt4
- synthetic data
- science
- physics
- chemistry
- biology
- math
- llama-cpp
- gguf-my-repo
model-index:
- name: Einstein-v5-v0.2-7B
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 60.92
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v5-v0.2-7B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 80.99
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v5-v0.2-7B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 61.02
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v5-v0.2-7B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 52.59
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v5-v0.2-7B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 78.69
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v5-v0.2-7B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 59.67
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Einstein-v5-v0.2-7B
      name: Open LLM Leaderboard
---

# AIronMind/Einstein-v5-v0.2-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Weyaxi/Einstein-v5-v0.2-7B`](https://huggingface.co/Weyaxi/Einstein-v5-v0.2-7B) 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-v5-v0.2-7B) 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-v5-v0.2-7B-Q4_K_M-GGUF --hf-file einstein-v5-v0.2-7b-q4_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo AIronMind/Einstein-v5-v0.2-7B-Q4_K_M-GGUF --hf-file einstein-v5-v0.2-7b-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-v5-v0.2-7B-Q4_K_M-GGUF --hf-file einstein-v5-v0.2-7b-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo AIronMind/Einstein-v5-v0.2-7B-Q4_K_M-GGUF --hf-file einstein-v5-v0.2-7b-q4_k_m.gguf -c 2048
```
