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
13.0B parameters, text in, text out.
Verified 2026-10-25 Rank #398 in LLMs · score 79.6 method v1 Sources 3 Downloads 30d 21.8k · #449 of 619 tracked
Picked by rule from 37 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: 31 quantized builds and 100 Spaces.
Top Spaces running it: Illia56/Ask-AI-Youtube ♥ 81 · EvanTHU/MotionLLM ♥ 43 · auto-cap/MoE-CAP-Dashboard ♥ 35 · allenai/URIAL-Bench ♥ 22
Weights only, an estimate: leave room for the KV cache. Method
About 7.8 GB at INT4, 16 GB at FP8, 31 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 (2023-07-13), amber triangles are 10 dated articles (each links to it).
280 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: 2,560 · F16: 13,015,864,320 |
| Size band | L |
| 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-2-13b-hf: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.
| BF16 (2 bytes/param) | 31 GB · Single high-end GPU (<80 GB) |
|---|---|
| FP8 (1 byte/param) | 16 GB · Single GPU (<24 GB) |
| INT4 (0.5 bytes/param) | 7.8 GB · Single GPU (<24 GB) |
Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.
finetune: 80quantized: 31adapter: 165merge: 4
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| haoranxu/ALMA-13B-Pretrain | finetune | — | — | — | mit | haoranxu | 10 | 297.3k |
| TheBloke/Llama-2-13B-GPTQ | quantized | GPTQ | 13.0B | L | llama2 | TheBloke | 120 | 123.7k |
| TheBloke/Llama-2-13B-GGUF | quantized | GGUF | — | — | llama2 | TheBloke | 70 | 94.9k |
| allenai/tulu-2-dpo-13b | finetune | — | 13.0B | L | other | allenai | 21 | 74.4k |
| allenai/tulu-2-13b | finetune | — | — | — | — | allenai | 5 | 27.8k |
| TheBloke/Llama-2-13B-AWQ | quantized | AWQ | 13.0B | L | llama2 | TheBloke | 14 | 26.3k |
| BramVanroy/llama2-13b-ft-mc4_nl_cleaned_tiny | adapter | — | 13.0B | L | apache-2.0 | BramVanroy | 4 | 25.6k |
| TheBloke/Llama-2-13B-GGML | finetune | — | — | — | llama2 | TheBloke | 173 | 5k |
| OpenGVLab/InternVL-Chat-V1-1 | merge | — | — | — | mit | OpenGVLab | 13 | 10.1k |
| facebook/layerskip-llama2-13B | finetune | — | 13.0B | L | other | 6 | 8.5k | |
| NbAiLab/nb-sau-13b-4k-step100k | quantized | GGUF | 13.0B | L | llama2 | NbAiLab | 2 | 6k |
| dfurman/Llama-2-13B-Instruct-v0.2 | adapter | — | — | — | llama2 | dfurman | 10 | 2.6k |
| tensorblock/Llama-2-13b-hf-GGUF | quantized | GGUF | — | — | llama2 | tensorblock | 0 | 2k |
| Styxxxx/llama2_13b_lora-dart | adapter | — | — | — | — | Styxxxx | 0 | 1.7k |
| pykale/llama-2-13b-ocr | adapter | — | — | — | mit | pykale | 0 | 1.6k |
| Styxxxx/llama2_13b_lora-hellaswag | adapter | — | — | — | — | Styxxxx | 0 | 1.5k |
| Styxxxx/llama2_13b_lora-e2e_nlg | adapter | — | — | — | — | Styxxxx | 0 | 1.4k |
| Styxxxx/llama2_13b_lora-multirc | adapter | — | — | — | — | Styxxxx | 0 | 1.4k |
| Styxxxx/llama2_13b_lora-glue_qqp | adapter | — | — | — | — | Styxxxx | 0 | 1.2k |
| Styxxxx/llama2_13b_lora-cb | adapter | — | — | — | — | Styxxxx | 0 | 1.2k |
| Styxxxx/llama2_13b_lora-common_gen | adapter | — | — | — | — | Styxxxx | 0 | 1.2k |
| allenai/tulu-v1-llama2-13b | finetune | — | — | — | — | allenai | 0 | 1.2k |
| eci-io/climategpt-13b | finetune | — | 13.0B | L | other | eci-io | 5 | 904 |
| Styxxxx/llama2_13b_lora-story_cloze | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-copa | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-definite_pronoun_resolution | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-anli_r2 | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-natural_questions | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-sst2 | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-anli_r3 | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-wmt16_translate_deen | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-web_nlg_en | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-glue_mrpc | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-wsc | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-paws_wiki | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-stsb | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-rte | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-qnli | adapter | — | — | — | — | Styxxxx | 0 | 1.1k |
| Styxxxx/llama2_13b_lora-piqa | adapter | — | — | — | — | Styxxxx | 0 | 1k |
| Styxxxx/llama2_13b_lora-imdb_reviews | adapter | — | — | — | — | Styxxxx | 0 | 1k |
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 21:37 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:07 UTC · Last verified 2026-10-25
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