Fine-tune your own Llama 2 to replace GPT-3.5/4
Fine-tuning open-source Llama 2 models can replace GPT-3.5 and GPT-4 for specific tasks, with a fine-tuned Llama 7B matching GPT-4 labels 95% of the time on a test set.
Up to date
meta-llama Llama 2 Community License out 3 years ago
69.0B parameters, text in, text out.
Verified 2026-10-25 Rank #389 in LLMs · score 79.8 method v1 Sources 3 Downloads 30d 22.3k · #448 of 619 tracked
Picked by rule from 29 tracked pieces: the lab's own post, the most shared, a field report, the latest.
Fine-tuning open-source Llama 2 models can replace GPT-3.5 and GPT-4 for specific tasks, with a fine-tuned Llama 7B matching GPT-4 labels 95% of the time on a test set.
Ollama enables local execution of uncensored Llama 2 variants, such as the 7B model fine-tuned using Wizard-Vicuna conversation dataset and Nous Hermes Llama 2 13B fine-tuned on over 300,000 instructions.
The 2 picks above, plus these 23. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.
Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.
No API provider serves it, so its downloads are people running it themselves: 17 quantized builds and 100 Spaces.
Top Spaces running it: Illia56/Ask-AI-Youtube ♥ 81 · EvanTHU/MotionLLM ♥ 43 · allenai/BaseChat ♥ 23 · allenai/URIAL-Bench ♥ 22
Weights only, an estimate: leave room for the KV cache. Method
About 41 GB at INT4, 83 GB at FP8, 166 GB at BF16: weights only, so leave room for the KV cache.
Estimate params × bytes per param × 1.2 · how we estimate
Weights, every dated article, and repo commits on one rail.
Teal is the weights (2023-07-11), amber triangles are 10 dated articles (each links to it).
82 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.
Everything else, folded: the full tables, every source.
Listed in LLMs
| Pipeline tag | text-generation |
|---|---|
| Library | transformers |
| Architectures | LlamaForCausalLM |
| Model type | llama |
| Params by dtype | F32: 5,120 · F16: 68,976,648,192 |
| Size band | XL |
| MoE | no |
| Gated | manual |
| Papers | arXiv:2307.09288 |
| License | Llama 2 Community License (llama2) |
| Hub snapshot | 2026-10-25 |
vLLM: supported · LlamaForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · LlamaForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed
vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.
Weights-only memory for Llama-2-70b-hf: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.
| BF16 (2 bytes/param) | 166 GB · Multi-GPU node (<640 GB) |
|---|---|
| FP8 (1 byte/param) | 83 GB · Multi-GPU node (<640 GB) |
| INT4 (0.5 bytes/param) | 41 GB · Single high-end GPU (<80 GB) |
Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.
quantized: 17finetune: 36adapter: 22merge: 7
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| TheBloke/Llama-2-70B-GPTQ | quantized | GPTQ | 69.0B | XL | llama2 | TheBloke | 83 | 374.5k |
| allenai/tulu-2-dpo-70b | finetune | — | 69.0B | XL | other | allenai | 156 | 83.9k |
| TheBloke/Llama-2-70B-AWQ | quantized | AWQ | 69.0B | XL | llama2 | TheBloke | 14 | 79.9k |
| TheBloke/Llama-2-70B-GGUF | quantized | GGUF | — | — | llama2 | TheBloke | 30 | 66.2k |
| karakuri-ai/karakuri-lm-70b-v0.1 | finetune | — | 69.2B | XL | other | karakuri-ai | 27 | 23.6k |
| allenai/tulu-2-70b | finetune | — | — | — | — | allenai | 8 | 10.5k |
| NousResearch/Nous-Hermes-2-Llama-2-70B | finetune | — | — | — | apache-2.0 | NousResearch | 19 | 6k |
| eci-io/climategpt-70b | finetune | — | 69.0B | XL | other | eci-io | 13 | 4.6k |
| facebook/layerskip-llama2-70B | finetune | — | 69.0B | XL | other | 5 | 3.6k | |
| allenai/tulu-v1-llama2-70b | finetune | — | — | — | — | allenai | 1 | 3.4k |
| dfurman/Llama-2-70B-Instruct-v0.1 | adapter | — | — | — | llama2 | dfurman | 14 | 1.7k |
| nvidia/OpenMath-Llama-2-70b-hf | finetune | — | 69.0B | XL | llama2 | nvidia | 4 | 1.9k |
| donghyunli/Llama-2-70b-KronQ-W4A16-g128 | finetune | -W4A16 | 35.9B | XL | llama2 | donghyunli | 0 | 815 |
| donghyunli/Llama-2-70b-KronQ-W3A16-g128-fake | finetune | — | 69.0B | XL | llama2 | donghyunli | 0 | 716 |
| donghyunli/Llama-2-70b-KronQ-W3A16-fake | finetune | — | 69.0B | XL | llama2 | donghyunli | 0 | 711 |
| AstroMLab/astrollama-2-70b-base_aic | finetune | — | — | — | mit | AstroMLab | 2 | 397 |
| donghyunli/Llama-2-70b-KronQ-W2A16-g128 | finetune | — | 18.7B | L | llama2 | donghyunli | 0 | 494 |
| AstroMLab/astrollama-2-70b-chat_aic | finetune | — | — | — | mit | AstroMLab | 1 | 368 |
| LoneStriker/tulu-2-70b-6.0bpw-h6-exl2 | finetune | 0bpw | — | — | — | LoneStriker | 1 | 257 |
| LoneStriker/tulu-2-dpo-70b-4.0bpw-h6-exl2 | finetune | 0bpw | — | — | — | LoneStriker | 1 | 248 |
| allenai/tulu-v2-qlora-70b | adapter | — | — | — | — | allenai | 1 | 240 |
| nvidia/OpenMath-Llama-2-70b | finetune | — | — | — | llama2 | nvidia | 5 | 36 |
| jamesdborin/llama2-70b-base-4bit-AWQ | quantized | -4bit | 69.0B | XL | llama2 | jamesdborin | 0 | 269 |
| LoneStriker/tulu-2-70b-2.4bpw-h6-exl2 | finetune | 4bpw | — | — | — | LoneStriker | 0 | 242 |
| LoneStriker/tulu-2-dpo-70b-2.65bpw-h6-exl2 | finetune | 5bpw | — | — | — | LoneStriker | 0 | 231 |
| from-our-page/BigLlama-2-120B | finetune | — | 120B | XXL | — | from-our-page | 0 | 227 |
| MatrixC7/karakuri-lm-70b-v0.1-exl2 | finetune | exl2 | — | — | cc-by-sa-4.0 | MatrixC7 | 0 | 211 |
| LoneStriker/tulu-2-70b-5.0bpw-h6-exl2 | finetune | 0bpw | — | — | — | LoneStriker | 0 | 209 |
| BigHuggyD/jukofyork_miquplus-midnight-70b_exl2_5.0bpw | merge | exl2 | — | — | other | BigHuggyD | 0 | 207 |
| jusjinuk/Llama-2-70b-hf-4bit-GuidedQuant-LNQ | quantized | -4bit | — | — | llama2 | jusjinuk | 0 | 200 |
| iamshnoo/alpaca-2-70b-english | adapter | — | — | — | cc-by-4.0 | iamshnoo | 0 | 195 |
| ChuckMcSneed/Xwin-LM-70B-V0.1-LORA | adapter | — | — | — | — | ChuckMcSneed | 1 | 144 |
| brain-lab/Llama-2-70b-QuIP-HARP-2Bit | finetune | — | 3.28B | M | llama2 | brain-lab | 0 | 189 |
| iamshnoo/alpaca-2-70b-hindi | adapter | — | — | — | cc-by-4.0 | iamshnoo | 0 | 177 |
| LoneStriker/tulu-2-dpo-70b-5.0bpw-h6-exl2 | finetune | 0bpw | — | — | — | LoneStriker | 2 | 75 |
| haritzpuerto/LLaMA2-70B-dcot | adapter | — | — | — | apache-2.0 | haritzpuerto | 0 | 172 |
| BigHuggyD/jukofyork_miquplus-midnight-70b_exl2_7.5bpw | merge | exl2 | — | — | other | BigHuggyD | 0 | 166 |
| iamshnoo/alpaca-2-70b-swahili | adapter | — | — | — | cc-by-4.0 | iamshnoo | 0 | 161 |
| BigHuggyD/jukofyork_miquplus-midnight-70b_exl2_6.5bpw | merge | exl2 | — | — | other | BigHuggyD | 0 | 159 |
| BigHuggyD/jukofyork_miquplus-midnight-70b_exl2_6.0bpw | merge | exl2 | — | — | other | BigHuggyD | 0 | 154 |
Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.
arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).
Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:39 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:09 UTC · Last verified 2026-10-25
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