Quantization made by Richard Erkhov.

Cinder-1.3B-Test - GGUF

Model creator: https://huggingface.co/Josephgflowers/
Original model: https://huggingface.co/Josephgflowers/Cinder-1.3B-Test/

Name	Quant method	Size
Cinder-1.3B-Test.Q2_K.gguf	Q2_K	0.46GB
Cinder-1.3B-Test.IQ3_XS.gguf	IQ3_XS	0.51GB
Cinder-1.3B-Test.IQ3_S.gguf	IQ3_S	0.54GB
Cinder-1.3B-Test.Q3_K_S.gguf	Q3_K_S	0.54GB
Cinder-1.3B-Test.IQ3_M.gguf	IQ3_M	0.56GB
Cinder-1.3B-Test.Q3_K.gguf	Q3_K	0.59GB
Cinder-1.3B-Test.Q3_K_M.gguf	Q3_K_M	0.59GB
Cinder-1.3B-Test.Q3_K_L.gguf	Q3_K_L	0.64GB
Cinder-1.3B-Test.IQ4_XS.gguf	IQ4_XS	0.66GB
Cinder-1.3B-Test.Q4_0.gguf	Q4_0	0.69GB
Cinder-1.3B-Test.IQ4_NL.gguf	IQ4_NL	0.69GB
Cinder-1.3B-Test.Q4_K_S.gguf	Q4_K_S	0.69GB
Cinder-1.3B-Test.Q4_K.gguf	Q4_K	0.72GB
Cinder-1.3B-Test.Q4_K_M.gguf	Q4_K_M	0.72GB
Cinder-1.3B-Test.Q4_1.gguf	Q4_1	0.76GB
Cinder-1.3B-Test.Q5_0.gguf	Q5_0	0.83GB
Cinder-1.3B-Test.Q5_K_S.gguf	Q5_K_S	0.83GB
Cinder-1.3B-Test.Q5_K.gguf	Q5_K	0.85GB
Cinder-1.3B-Test.Q5_K_M.gguf	Q5_K_M	0.85GB
Cinder-1.3B-Test.Q5_1.gguf	Q5_1	0.9GB
Cinder-1.3B-Test.Q6_K.gguf	Q6_K	0.98GB
Cinder-1.3B-Test.Q8_0.gguf	Q8_0	1.26GB

Original model description:

license: mit library_name: transformers base_model: Josephgflowers/TinyLlama-3T-Cinder-v1.2 pipeline_tag: text-generation widget:

text: '<|system|>

You are a helpful assistant

<|user|>

Tell me about yourself, what is your name?.

<|assistant|>'

model-index: - name: Cinder-1.3B-Test 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: 33.19 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/Cinder-1.3B-Test 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: 55.48 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/Cinder-1.3B-Test 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: 26.37 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/Cinder-1.3B-Test 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: 36.62 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/Cinder-1.3B-Test 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: 58.96 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/Cinder-1.3B-Test 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: 2.81 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/Cinder-1.3B-Test name: Open LLM Leaderboard

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Framework versions

PEFT 0.7.1

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	35.57
AI2 Reasoning Challenge (25-Shot)	33.19
HellaSwag (10-Shot)	55.48
MMLU (5-Shot)	26.37
TruthfulQA (0-shot)	36.62
Winogrande (5-shot)	58.96
GSM8k (5-shot)	2.81