Text Generation
Transformers
Safetensors
llama
finetuned
quantized
4-bit precision
gptq
dataset:ai2_arc
dataset:unalignment/spicy-3.1
dataset:codeparrot/apps
dataset:facebook/belebele
dataset:boolq
dataset:jondurbin/cinematika-v0.1
dataset:drop
dataset:lmsys/lmsys-chat-1m
dataset:TIGER-Lab/MathInstruct
dataset:cais/mmlu
dataset:Muennighoff/natural-instructions
dataset:openbookqa
dataset:piqa
dataset:Vezora/Tested-22k-Python-Alpaca
dataset:cakiki/rosetta-code
dataset:Open-Orca/SlimOrca
dataset:spider
dataset:squad_v2
dataset:migtissera/Synthia-v1.3
dataset:datasets/winogrande
dataset:nvidia/HelpSteer
dataset:Intel/orca_dpo_pairs
dataset:unalignment/toxic-dpo-v0.1
dataset:jondurbin/truthy-dpo-v0.1
dataset:allenai/ultrafeedback_binarized_cleaned
dataset:Squish42/bluemoon-fandom-1-1-rp-cleaned
dataset:LDJnr/Capybara
dataset:JULIELab/EmoBank
dataset:kingbri/PIPPA-shareGPT
Inference Endpoints
text-generation-inference
has_space
conversational
Eval Results
File size: 721 Bytes
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{
"_name_or_path": "one-man-army/UNA-34Beagles-32K-bf16-v1",
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 7168,
"initializer_range": 0.02,
"intermediate_size": 20480,
"max_position_embeddings": 32768,
"model_type": "llama",
"num_attention_heads": 56,
"num_hidden_layers": 60,
"num_key_value_heads": 8,
"pad_token_id": 1,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 5000000.0,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.36.2",
"use_cache": true,
"vocab_size": 64000
}
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