You can deploy this model and start earning money today!

RichardErkhov/
Ba2han_-_Llama-Phi-3_DoRA-gguf

Name: Ba2han_-_Llama-Phi-3_DoRA-gguf
Availability: InStock

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Llama-Phi-3_DoRA - GGUF

Model creator: https://huggingface.co/Ba2han/
Original model: https://huggingface.co/Ba2han/Llama-Phi-3_DoRA/

Name	Quant method	Size
Llama-Phi-3_DoRA.Q2_K.gguf	Q2_K	1.35GB
Llama-Phi-3_DoRA.IQ3_XS.gguf	IQ3_XS	1.49GB
Llama-Phi-3_DoRA.IQ3_S.gguf	IQ3_S	1.57GB
Llama-Phi-3_DoRA.Q3_K_S.gguf	Q3_K_S	1.57GB
Llama-Phi-3_DoRA.IQ3_M.gguf	IQ3_M	1.65GB
Llama-Phi-3_DoRA.Q3_K.gguf	Q3_K	1.75GB
Llama-Phi-3_DoRA.Q3_K_M.gguf	Q3_K_M	1.75GB
Llama-Phi-3_DoRA.Q3_K_L.gguf	Q3_K_L	1.9GB
Llama-Phi-3_DoRA.IQ4_XS.gguf	IQ4_XS	1.93GB
Llama-Phi-3_DoRA.Q4_0.gguf	Q4_0	2.03GB
Llama-Phi-3_DoRA.IQ4_NL.gguf	IQ4_NL	2.04GB
Llama-Phi-3_DoRA.Q4_K_S.gguf	Q4_K_S	2.04GB
Llama-Phi-3_DoRA.Q4_K.gguf	Q4_K	2.16GB
Llama-Phi-3_DoRA.Q4_K_M.gguf	Q4_K_M	2.16GB
Llama-Phi-3_DoRA.Q4_1.gguf	Q4_1	2.24GB
Llama-Phi-3_DoRA.Q5_0.gguf	Q5_0	2.46GB
Llama-Phi-3_DoRA.Q5_K_S.gguf	Q5_K_S	2.46GB
Llama-Phi-3_DoRA.Q5_K.gguf	Q5_K	2.53GB
Llama-Phi-3_DoRA.Q5_K_M.gguf	Q5_K_M	2.53GB
Llama-Phi-3_DoRA.Q5_1.gguf	Q5_1	2.68GB
Llama-Phi-3_DoRA.Q6_K.gguf	Q6_K	2.92GB
Llama-Phi-3_DoRA.Q8_0.gguf	Q8_0	3.78GB

Original model description:

language:

en license: mit datasets:
Sao10K/Claude-3-Opus-Instruct-15K
abacusai/SystemChat-1.1
Ba2han/DollyLlama-5k model-index:
name: Llama-Phi-3_DoRA 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: 62.29 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA 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: 79.08 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA 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: 69.44 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA 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: 54.08 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA 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: 73.4 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA 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: 68.01 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA name: Open LLM Leaderboard

We have Llama-3 at home!

Highest PHI-3-Mini MMLU and Winogrande on the board!

The model has been trained on filtered versions of tagged datasets, as well as a few thousand more examples generated with llama-3-70B.

Use Zephyr template with any system message. Default system message should be:

You are a smart, friendly and helpful assistant.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	67.72
AI2 Reasoning Challenge (25-Shot)	62.29
HellaSwag (10-Shot)	79.08
MMLU (5-Shot)	69.44
TruthfulQA (0-shot)	54.08
Winogrande (5-shot)	73.40
GSM8k (5-shot)	68.01

RichardErkhov/Ba2han_-_Llama-Phi-3_DoRA-gguf

Original model description:

Open LLM Leaderboard Evaluation Results

RichardErkhov/
Ba2han_-_Llama-Phi-3_DoRA-gguf