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. 1 provider serves it.
Verified 2026-10-25 Rank #93 in LLMs · score 100.2 method v1 Sources 3 Downloads 30d 177.8k · #261 of 619 tracked
Picked by rule from 36 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.
Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.
| # | Cheapest live row | In /1M | Out /1M | Context | Quant | Seen |
|---|---|---|---|---|---|---|
| 1 | Featherless | — | — | — | — | Oct 25 |
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.
Served by 1 API provider; 21 quantized builds for local use; a big base for builders (197 fine-tunes, adapters and merges).
Top Spaces running it: huggingface-projects/llama-2-13b-chat ♥ 493 · h2oai/h2ogpt-chatbot ♥ 295 · baconnier/prompt-plus-plus ♥ 246 · allenai/WildBench ♥ 232
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).
218 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.
Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.
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-chat-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.
quantized: 21finetune: 44adapter: 150merge: 3
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| TheBloke/Llama-2-13B-chat-GPTQ | quantized | GPTQ | 13.0B | L | llama2 | TheBloke | 362 | 1.7M |
| TheBloke/Llama-2-13B-chat-GGUF | quantized | GGUF | — | — | llama2 | TheBloke | 206 | 474k |
| TheBloke/Llama-2-13B-chat-AWQ | quantized | AWQ | 13.0B | L | llama2 | TheBloke | 26 | 352.4k |
| TheBloke/Llama-2-13B-chat-GGML | finetune | — | — | — | other | TheBloke | 692 | 30.8k |
| second-state/Llama-2-13B-Chat-GGUF | quantized | GGUF | — | — | llama2 | second-state | 3 | 21.4k |
| Nekochu/Luminia-13B-v3 | adapter | GGUF | 13.0B | L | apache-2.0 | Nekochu | 6 | 6.5k |
| mlc-ai/Llama-2-13b-chat-hf-q4f16_1-MLC | quantized | — | — | — | — | mlc-ai | 1 | 4.3k |
| Liuzzyy/Llama-2-13b-chat-hf-Q4_K_M-GGUF | quantized | GGUF | — | — | llama2 | Liuzzyy | 0 | 3.1k |
| tensorblock/Llama-2-13b-chat-hf-GGUF | quantized | GGUF | — | — | llama2 | tensorblock | 0 | 2.1k |
| wentao-yuan/robopoint-v1-llama-2-13b | finetune | — | 13.3B | L | apache-2.0 | wentao-yuan | 0 | 1.4k |
| FriendliAI/Llama-2-13b-chat-hf-fp8 | finetune | -fp8 | 13.0B | L | llama2 | FriendliAI | 8 | 695 |
| Thimira/sinhala-llama-2-13b-chat-hf | adapter | — | — | — | llama2 | Thimira | 0 | 829 |
| NikolayKozloff/Llama-portuguese-13b-Luana-v0.2-GGUF | quantized | GGUF | — | — | apache-2.0 | NikolayKozloff | 1 | 685 |
| kalpsnuti/llama-213-chat-gguf | quantized | gguf | — | — | llama2 | kalpsnuti | 0 | 729 |
| rhaymison/Llama-portuguese-13b-Luana-v0.2 | finetune | — | 13.0B | L | apache-2.0 | rhaymison | 3 | 529 |
| NikitaZagainov/notebook-segmentation-llama-2-13b-1ep | adapter | — | — | — | — | NikitaZagainov | 0 | 629 |
| wvnvwn/llama-2-13b-chat-hf-lr5e-5-resta-0.1 | merge | — | 13.0B | L | — | wvnvwn | 0 | 619 |
| BLACKBUN/llama-2-13b-pubmed-qa-211k-gguf_q8_0 | quantized | gguf | — | — | llama2 | BLACKBUN | 2 | 421 |
| AnirbanSaha/llama2-13b-tlink-sentence-only-autoregressive | finetune | — | 13.0B | L | llama3.2 | AnirbanSaha | 0 | 510 |
| wvnvwn/llama-2-13b-chat-hf-lr5e-5-resta-0.5 | merge | — | 13.0B | L | — | wvnvwn | 0 | 491 |
| wvnvwn/llama-2-13b-chat-hf-lr5e-5-resta-0.3 | merge | — | 13.0B | L | — | wvnvwn | 0 | 485 |
| zhentaoyu/Llama-2-13b-chat-hf-Q4_0-GGUF | quantized | Q4_0 | — | — | llama2 | zhentaoyu | 0 | 464 |
| nayohan/corningQA-llama2-13b-chat | finetune | — | — | — | apache-2.0 | nayohan | 1 | 338 |
| leliuga/Llama-2-13b-chat-hf-bnb-4bit | quantized | -bnb | 13.4B | L | apache-2.0 | leliuga | 0 | 372 |
| vincentmin/llama-2-13b-reward-oasst1 | adapter | — | — | — | — | vincentmin | 0 | 368 |
| irlab-udc/LLaMA2-13b-Stop-Hate | adapter | — | — | — | llama2 | irlab-udc | 1 | 252 |
| BLACKBUN/llama-2-13b-pubmed-qa-211k | finetune | — | 13.0B | L | mit | BLACKBUN | 1 | 230 |
| massh3dpotato/Llama-2-7B-chat-GGML | finetune | — | — | — | other | massh3dpotato | 0 | 262 |
| llmware/llama-2-13b-chat-ov | quantized | — | — | — | llama2 | llmware | 1 | 207 |
| andrewrreed/Llama-2-13B-chat-GPTQ | quantized | GPTQ | 13.0B | L | llama2 | andrewrreed | 0 | 253 |
| massh3dpotato/Llama-2-13B-chat-GGML | finetune | — | — | — | other | massh3dpotato | 0 | 242 |
| jengjeeng/JengJeeng-R0-20250305 | adapter | — | — | — | — | jengjeeng | 1 | 156 |
| mbkim/LifeTox_Moderator_13B | adapter | — | — | — | mit | mbkim | 1 | 153 |
| itsanurag/Llama-2-13b-Chat-4BitQuantized | quantized | -4Bit | 13.4B | L | apache-2.0 | itsanurag | 1 | 147 |
| NingLab/CASLIE-L | finetune | — | 13.0B | L | cc-by-4.0 | NingLab | 0 | 173 |
| jorgedelpozolerida/Llama-2-13b-chat-hf-Q8_0-GGUF | quantized | Q8_0 | — | — | llama2 | jorgedelpozolerida | 0 | 172 |
| boapro/Coder | quantized | GGUF | — | — | mit | boapro | 1 | 113 |
| jerife/llama2-13b-chat-hf-dbe-difficulty | adapter | — | — | — | — | jerife | 0 | 148 |
| AnirbanSaha/llama2-13b-tlink-full-autoregressive | finetune | — | 13.0B | L | llama3.2 | AnirbanSaha | 0 | 144 |
| HachiML/Llama-2-13b-chat-hf-ja-qlora | adapter | — | — | — | — | HachiML | 0 | 142 |
Hosted endpoints observed for Llama-2-13b-chat-hf, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting.
| Provider | Model ref | Context | Quant | $/M in | $/M out | tok/s | TTFT | Tools | Status | Observed |
|---|---|---|---|---|---|---|---|---|---|---|
| Featherless hf | meta-llama/Llama-2-13b-chat-hf | — | — | — | — | — | — | — | live | 2026-10-25 |
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 21:34 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:01 UTC · Last verified 2026-10-25
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