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Samantha Qwen2 7B AWQ by macadeliccc

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  4-bit   Autotrain compatible   Awq Base model:quantized:qwen/qwen...   Base model:qwen/qwen2-7b   Conversational Dataset:cognitivecomputations/... Dataset:macadeliccc/opus saman... Dataset:sao10k/claude-3-opus-i...   Dataset:teknium/openhermes-2.5   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Samantha Qwen2 7B AWQ Benchmarks

LLME Score: 0.23292
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Samantha Qwen2 7B AWQ Parameters and Internals

LLM NameSamantha Qwen2 7B AWQ
Repository 🤗https://huggingface.co/macadeliccc/Samantha-Qwen2-7B-AWQ 
Base Model(s)  Qwen2 7B   Qwen/Qwen2-7B
Model Size7b
Required VRAM5.6 GB
Updated2024-09-07
Maintainermacadeliccc
Model Typeqwen2
Instruction-BasedYes
Model Files  4.5 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace
Samantha Qwen2 7B AWQ (macadeliccc/Samantha-Qwen2-7B-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/Samantha-Qwen2-7B-AWQ.

Rank the Samantha Qwen2 7B AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v2024072803
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