Samantha Qwen2 7B AWQ is an open-source language model by macadeliccc. Features: 7b LLM, VRAM: 5.6GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.
4-bit 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
Model Card on HF 🤗: https://huggingface.co/macadeliccc/Samantha-Qwen2-7B-AWQ
Samantha Qwen2 7B AWQ Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Samantha Qwen2 7B AWQ Parameters and Internals
| LLM Name | Samantha Qwen2 7B AWQ |
| Repository 🤗 | https://huggingface.co/macadeliccc/Samantha-Qwen2-7B-AWQ |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 5.6 GB |
| Updated | 2026-01-05 |
| Maintainer | macadeliccc |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Samantha Qwen2 7B AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Instruct AWQ | 32K / 5.6 GB | 750026 | 40 |
| Qwen2.5 Coder 7B Instruct AWQ | 32K / 5.6 GB | 256217 | 21 |
| Qwen2 7B Instruct AWQ | 32K / 5.6 GB | 22897 | 22 |
| Qwen2.5 7B Instruct 1M 4bit | 986K / 4.3 GB | 422 | 10 |
| ...B Instruct 1M Unsloth Bnb 4bit | 986K / 7.5 GB | 77 | 3 |
| Qwen2.5 7B Instruct 1M 8bit | 986K / 8.1 GB | 77 | 4 |
| Qwen2.5 7B Instruct 1M 6bit | 986K / 6.2 GB | 30 | 2 |
| Alisia 7B Instruct V1 | 128K / 15.4 GB | 114 | 2 |
| ...5 7B Instruct SFT Meme LoRA V7 | 128K / 15.2 GB | 6 | 0 |
| Gte Qwen2 7B Instruct 4bit DWQ | 128K / 4.3 GB | 78 | 3 |
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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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a