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RichardErkhov/
AbacusResearch_-_Jallabi-34B-gguf

Name: AbacusResearch_-_Jallabi-34B-gguf
Availability: InStock

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Jallabi-34B - GGUF

Model creator: https://huggingface.co/AbacusResearch/
Original model: https://huggingface.co/AbacusResearch/Jallabi-34B/

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

Original model description:

license: apache-2.0 tags:

llama
LlamaForCausalLM
LLM model-index:
name: Jallabi-34B 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: 66.04 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/Jallabi-34B 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: 83.81 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/Jallabi-34B 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: 76.4 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/Jallabi-34B 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: 51.46 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/Jallabi-34B 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: 81.45 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/Jallabi-34B 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: 65.2 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/Jallabi-34B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics:
  - type: inst_level_strict_acc and prompt_level_strict_acc value: 35.29 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=AbacusResearch/Jallabi-34B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics:
  - type: acc_norm value: 43.62 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=AbacusResearch/Jallabi-34B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics:
  - type: exact_match value: 3.93 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=AbacusResearch/Jallabi-34B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics:
  - type: acc_norm value: 11.86 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=AbacusResearch/Jallabi-34B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics:
  - type: acc_norm value: 20.24 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=AbacusResearch/Jallabi-34B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics:
  - type: acc value: 40.91 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=AbacusResearch/Jallabi-34B name: Open LLM Leaderboard

These are llama only weights of https://huggingface.co/liuhaotian/llava-v1.6-34b . The Clip encoder part is removed and and this model is llama weights only that can be loaded using LlamaForCausalLM. Which indirectly is a https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B licence.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	70.73
AI2 Reasoning Challenge (25-Shot)	66.04
HellaSwag (10-Shot)	83.81
MMLU (5-Shot)	76.40
TruthfulQA (0-shot)	51.46
Winogrande (5-shot)	81.45
GSM8k (5-shot)	65.20

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	25.97
IFEval (0-Shot)	35.29
BBH (3-Shot)	43.62
MATH Lvl 5 (4-Shot)	3.93
GPQA (0-shot)	11.86
MuSR (0-shot)	20.24
MMLU-PRO (5-shot)	40.91

RichardErkhov/AbacusResearch_-_Jallabi-34B-gguf

Original model description:

Open LLM Leaderboard Evaluation Results

Open LLM Leaderboard Evaluation Results

RichardErkhov/
AbacusResearch_-_Jallabi-34B-gguf