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RichardErkhov/
ConvexAI_-_Luminex-34B-v0.1-gguf

Name: ConvexAI_-_Luminex-34B-v0.1-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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Luminex-34B-v0.1 - GGUF

Model creator: https://huggingface.co/ConvexAI/
Original model: https://huggingface.co/ConvexAI/Luminex-34B-v0.1/

Name	Quant method	Size
Luminex-34B-v0.1.Q2_K.gguf	Q2_K	11.94GB
Luminex-34B-v0.1.IQ3_XS.gguf	IQ3_XS	13.26GB
Luminex-34B-v0.1.IQ3_S.gguf	IQ3_S	13.99GB
Luminex-34B-v0.1.Q3_K_S.gguf	Q3_K_S	13.93GB
Luminex-34B-v0.1.IQ3_M.gguf	IQ3_M	14.5GB
Luminex-34B-v0.1.Q3_K.gguf	Q3_K	15.51GB
Luminex-34B-v0.1.Q3_K_M.gguf	Q3_K_M	15.51GB
Luminex-34B-v0.1.Q3_K_L.gguf	Q3_K_L	16.89GB
Luminex-34B-v0.1.IQ4_XS.gguf	IQ4_XS	17.36GB
Luminex-34B-v0.1.Q4_0.gguf	Q4_0	18.13GB
Luminex-34B-v0.1.IQ4_NL.gguf	IQ4_NL	18.3GB
Luminex-34B-v0.1.Q4_K_S.gguf	Q4_K_S	18.25GB
Luminex-34B-v0.1.Q4_K.gguf	Q4_K	19.24GB
Luminex-34B-v0.1.Q4_K_M.gguf	Q4_K_M	19.24GB
Luminex-34B-v0.1.Q4_1.gguf	Q4_1	20.1GB
Luminex-34B-v0.1.Q5_0.gguf	Q5_0	22.08GB
Luminex-34B-v0.1.Q5_K_S.gguf	Q5_K_S	22.08GB
Luminex-34B-v0.1.Q5_K.gguf	Q5_K	22.65GB
Luminex-34B-v0.1.Q5_K_M.gguf	Q5_K_M	22.65GB
Luminex-34B-v0.1.Q5_1.gguf	Q5_1	24.05GB
Luminex-34B-v0.1.Q6_K.gguf	Q6_K	26.28GB
Luminex-34B-v0.1.Q8_0.gguf	Q8_0	34.03GB

Original model description:

license: other license_name: yi-license license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE base_model: jondurbin/bagel-34b-v0.2 model-index:

name: Luminex-34B-v0.1 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: 73.63 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ConvexAI/Luminex-34B-v0.1 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: 86.59 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ConvexAI/Luminex-34B-v0.1 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: 76.55 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ConvexAI/Luminex-34B-v0.1 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: 69.68 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ConvexAI/Luminex-34B-v0.1 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: 83.43 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ConvexAI/Luminex-34B-v0.1 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: 72.48 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ConvexAI/Luminex-34B-v0.1 name: Open LLM Leaderboard

ConvexAI/Luminex-34B-v0.1

This model is Smaug-34b with LaserRMT applied.

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Contamination Results