Llama 2 7B 32K Instruct GGML is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.9GB, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.09.
Arxiv:2307.03172 Base model:finetune:togetherco... Base model:togethercomputer/ll... Dataset:togethercomputer/llama... En Ggml Instruct Llama Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama-2-7B-32K-Instruct-GGML
Llama 2 7B 32K Instruct GGML 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)
Llama 2 7B 32K Instruct GGML Parameters and Internals
| LLM Name | Llama 2 7B 32K Instruct GGML |
| Repository 🤗 | https://huggingface.co/TheBloke/Llama-2-7B-32K-Instruct-GGML |
| Model Name | Llama2 7B 32K Instruct |
| Model Creator | Together |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 2.9 GB |
| Updated | 2026-04-04 |
| Maintainer | TheBloke |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGML Quantization | Yes |
| Quantization Type | ggml |
| Model Architecture | AutoModel |
| License | llama2 |
Best Alternatives to Llama 2 7B 32K Instruct GGML
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| CodeLlama 7B Instruct GGML | 0K / 3 GB | 14 | 20 |
| Vigogne 2 7B Instruct GGML | 0K / 2.9 GB | 5 | 2 |
| Falcon 7B Instruct GGML | 0K / 4.1 GB | 12 | 40 |
| Redpajama 7B GGML | 0K / 3.9 GB | 5 | 3 |
| MPT 7B Instruct GGML | 0K / 3.7 GB | 79 | 30 |
| Mpt 7B GGML | 0K / 3.7 GB | 8 | 46 |
| ...entesterFlow V3 Reasoning LoRA | 0K / 0 GB | 19 | 0 |
| Lora | 0K / 0.2 GB | 19 | 0 |
| Qwen 2.5 7B S1k Lora Model | 0K / 0.2 GB | 0 | 1 |
| Mistral 7B News Cnn Merged | 0K / 0.3 GB | 0 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-7B-32K-Instruct-GGML .
Rank the Llama 2 7B 32K Instruct GGML Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a